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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Dog vs Cat Competition/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.120093 | # Imports
import os
import torch
import torch.nn.functional as F
import numpy as np
import config
from torch import nn, optim
from torch.utils.data import DataLoader
from tqdm import tqdm
from dataset import CatDog
from efficientnet_pytorch import EfficientNet
from utils import check_accuracy, load_checkpoint, save_che... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/DiabeticRetinopathy/train_blend.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.121627 | import torch
from tqdm import tqdm
import numpy as np
from torch import nn
from torch import optim
from torch.utils.data import DataLoader, Dataset
from utils import save_checkpoint, load_checkpoint, check_accuracy
from sklearn.metrics import cohen_kappa_score
import config
import os
import pandas as pd
def make_pred... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/DiabeticRetinopathy/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.127559 | import torch
import pandas as pd
import numpy as np
import config
from tqdm import tqdm
import warnings
import torch.nn.functional as F
def make_prediction(model, loader, output_csv="submission.csv"):
preds = []
filenames = []
model.eval()
for x, y, files in tqdm(loader):
x = x.to(config.DEVI... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/DiabeticRetinopathy/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.128077 | import config
import os
import pandas as pd
import numpy as np
from torch.utils.data import Dataset, DataLoader
from PIL import Image
from tqdm import tqdm
class DRDataset(Dataset):
def __init__(self, images_folder, path_to_csv, train=True, transform=None):
super().__init__()
self.data = pd.read_c... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/DiabeticRetinopathy/preprocess_images.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.139112 | """
Tries to remove unnecessary black borders around the images, and
"trim" the images to they take up the entirety of the image.
It's hacky & not very nice but it works :))
"""
import os
import numpy as np
from PIL import Image
import warnings
from multiprocessing import Pool
from tqdm import tqdm
import cv2
def tr... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Dog vs Cat Competition/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.146496 | import torch
import albumentations as A
from albumentations.pytorch import ToTensorV2
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
NUM_WORKERS = 4
BATCH_SIZE = 20
PIN_MEMORY = True
LOAD_MODEL = True
SAVE_MODEL = True
CHECKPOINT_FILE = "b7.pth.tar"
WEIGHT_DECAY = 1e-4
LEARNING_RATE = 1e-4
NUM_EPOCHS = 1
bas... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/DiabeticRetinopathy/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.147573 | import torch
import albumentations as A
from albumentations.pytorch import ToTensorV2
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
LEARNING_RATE = 3e-5
WEIGHT_DECAY = 5e-4
BATCH_SIZE = 20
NUM_EPOCHS = 100
NUM_WORKERS = 6
CHECKPOINT_FILE = "b3.pth.tar"
PIN_MEMORY = True
SAVE_MODEL = True
LOAD_MODEL = True
#... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Facial Keypoint Detection Competition/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.718177 | import torch
import numpy as np
import config
import pandas as pd
from tqdm import tqdm
def get_submission(loader, dataset, model_15, model_4):
"""
This can be done a lot faster.. but it didn't take
too much time to do it in this inefficient way
"""
model_15.eval()
model_4.eval()
id_lookup... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Facial Keypoint Detection Competition/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.734139 | import torch
import albumentations as A
from albumentations.pytorch import ToTensorV2
import cv2
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
LEARNING_RATE = 1e-4
WEIGHT_DECAY = 5e-4
BATCH_SIZE = 64
NUM_EPOCHS = 100
NUM_WORKERS = 4
CHECKPOINT_FILE = "b0_4.pth.tar"
PIN_MEMORY = True
SAVE_MODEL = True
LOAD_MO... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Facial Keypoint Detection Competition/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.734759 | import pandas as pd
import numpy as np
import config
import matplotlib.pyplot as plt
from torch.utils.data import DataLoader, Dataset
class FacialKeypointDataset(Dataset):
def __init__(self, csv_file, train=True, transform=None):
super().__init__()
self.data = pd.read_csv(csv_file)
self.ca... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/SantanderTransaction/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.765795 | import torch
from sklearn import metrics
from tqdm import tqdm
import torch.nn as nn
import torch.optim as optim
from utils import get_predictions
from dataset import get_data
from torch.utils.data import DataLoader
import torch.nn.functional as F
class NN(nn.Module):
def __init__(self, input_size, hidden_dim):
... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Facial Keypoint Detection Competition/extract_images_from_csv.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.767074 | import numpy as np
import pandas as pd
import os
from PIL import Image
def extract_images_from_csv(csv, column, save_folder, resize=(96, 96)):
if not os.path.exists(save_folder):
os.makedirs(save_folder)
for idx, image in enumerate(csv[column]):
image = np.array(image.split()).astype(np.uint8... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/SantanderTransaction/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.773992 | import pandas as pd
import numpy as np
import torch
def get_predictions(loader, model, device):
model.eval()
saved_preds = []
true_labels = []
with torch.no_grad():
for x,y in loader:
x = x.to(device)
y = y.to(device)
scores = model(x)
saved_pred... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/DeepSort/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.775181 | import torch
def ask_user():
print("Write your array as a list [i,j,k..] with arbitrary positive numbers")
array = input("Input q if you want to quit \n")
return array
def sort_array(encoder, decoder, device, arr=None):
"""
A very simple example of use of the model
Input: encoder... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/DeepSort/sort_w_attention.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.776863 | """
Training a Pointer Network which is a modified
Seq2Seq with attention network for the task of
sorting arrays.
"""
from torch.utils.data import (
Dataset,
DataLoader,
)
import random
import torch
import torch.nn as nn
import torch.optim as optim
from utils import sort_array, save_checkpoint, load_checkpoint... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/Facial Keypoint Detection Competition/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.807989 | import torch
from dataset import FacialKeypointDataset
from torch import nn, optim
import os
import config
from torch.utils.data import DataLoader
from tqdm import tqdm
from efficientnet_pytorch import EfficientNet
from utils import (
load_checkpoint,
save_checkpoint,
get_rmse,
get_submission
)
def tr... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Kaggles/SantanderTransaction/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:46.830762 | import pandas as pd
import torch
from torch.utils.data import TensorDataset
from torch.utils.data.dataset import random_split
from math import ceil
def get_data():
train_data = pd.read_csv("new_shiny_train.csv")
y = train_data["target"]
X = train_data.drop(["ID_code", "target"], axis=1)
X_tensor = torc... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/networks/lenet.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.303432 | import torch
import torch.nn as nn
import torch.nn.functional as F
class LeNet(nn.Module):
def __init__(self, in_channels, init_weights=True, num_classes=10):
super(LeNet, self).__init__()
self.num_classes = num_classes
if init_weights:
self._initialize_weights()
sel... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/networks/googLeNet.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.304579 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Inception(nn.Module):
def __init__(
self, in_channels, out1x1, out3x3reduced, out3x3, out5x5reduced, out5x5, outpool
):
super().__init__()
self.branch_1 = BasicConv2d(in_channels, out1x1, kernel_size=1, stride=1)... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/utils/import_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.385980 | from utils.mnist_data import mnist_data
from utils.utils import check_accuracy, save_checkpoint, visdom_plotting, load_model
|
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/networks/import_all_networks.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.387010 | from networks.vgg import VGG
from networks.lenet import LeNet
from networks.resnet import ResNet, residual_template, ResNet50, ResNet101, ResNet152
from networks.googLeNet import BasicConv2d, Inception, GoogLeNet
|
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.389247 | import argparse
import os
import shutil
import torch
import torch.nn as nn
import torch.optim as optim
import torch.utils.data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader, SubsetRandomSampler
from net... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/networks/resnet.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.394780 | import torch
import torch.nn as nn
class residual_template(nn.Module):
expansion = 4
def __init__(self, in_channels, out_channels, stride=1, identity_downsample=None):
super().__init__()
self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=1, bias=False)
self.bn1 = nn.BatchNo... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/utils/mnist_data.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.395813 | import numpy as np
import torchvision.datasets as datasets
from torch.utils.data import DataLoader, SubsetRandomSampler
class mnist_data(object):
def __init__(
self,
shuffle,
transform_train,
transform_test,
num_workers=0,
create_validation_set=True,
batch_s... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/networks/vgg.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.416099 | import torch
import torch.nn as nn
VGG_types = {
"VGG11": [64, "M", 128, "M", 256, 256, "M", 512, 512, "M", 512, 512, "M"],
"VGG13": [64, 64, "M", 128, 128, "M", 256, 256, "M", 512, 512, "M", 512, 512, "M"],
"VGG16": [
64,
64,
"M",
128,
128,
"M",
256... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/Exploring_MNIST/utils/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.417960 | import torch
import visdom
import os
device = "cuda" if torch.cuda.is_available() else "cpu"
dtype = torch.float32
def save_checkpoint(filename, model, optimizer, train_acc, epoch):
save_state = {
"state_dict": model.state_dict(),
"acc": train_acc,
"epoch": epoch + 1,
"optimizer":... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/spam_classifier_naive_bayes/build_vocabulary.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:47.456076 | # -*- coding: utf-8 -*-
"""
We want go through each word in all emails,
check if the word is an actual english word
by comparing with nltk.corpus words and if it is
then add it to our vocabulary.
"""
import pandas as pd
import nltk
from nltk.corpus import words
vocabulary = {}
data = pd.read_csv("data/emails.csv")
n... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/spam_classifier_naive_bayes/naivebayes.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:48.314577 | """
Naive Bayes Classifier Implementation from scratch
To run the code structure the code in the following way:
X be size: (num_training_examples, num_features)
y be size: (num_classes, )
Where the classes are 0, 1, 2, etc. Then an example run looks like:
NB = NaiveBayes(X, y)
NB.fit(X)
prediction... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/spam_classifier_naive_bayes/create_freq_vectors.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:48.391562 | # -*- coding: utf-8 -*-
"""
Having created our vocabulary we now need to create
the dataset X,y which we will create by doing frequency
vector for each email. For example if our vocabulary
has the words
[aardkvark, ..., buy, ... money, .... zulu]
We go through each email and count up how many times each
word was rep... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/albumentations_tutorial/detection.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:48.439890 | import cv2
import albumentations as A
import numpy as np
from utils import plot_examples
from PIL import Image
image = cv2.imread("images/cat.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
bboxes = [[13, 170, 224, 410]]
# Pascal_voc (x_min, y_min, x_max, y_max), YOLO, COCO
transform = A.Compose(
[
... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/custom_dataset/custom_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:48.457479 | """
Example of how to create custom dataset in Pytorch. In this case
we have images of cats and dogs in a separate folder and a csv
file containing the name to the jpg file as well as the target
label (0 for cat, 1 for dog).
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-04-03 Initial cod... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/custom_dataset_txt/loader_customtext.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:48.919163 | """
Introductory tutorial on how to deal with custom text datasets in PyTorch.
Note that there are better ways to do this when dealing with huge text datasets.
But this is a good way of understanding how it works and can be used as a starting
point, particularly for smaller/medium datasets.
Programmed by Aladdin Pers... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/lightning_simple_CNN.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.028734 | """
Simple pytorch lightning example
"""
# Imports
import torch
import torch.nn.functional as F # Parameterless functions, like (some) activation functions
import torchvision.datasets as datasets # Standard datasets
import torchvision.transforms as transforms # Transformations we can perform on our dataset for augm... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/albumentations_tutorial/classification.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.049059 | import cv2
import albumentations as A
import numpy as np
from utils import plot_examples
from PIL import Image
from tqdm import tqdm
image = Image.open("images/elon.jpeg")
transform = A.Compose(
[
A.Resize(width=1920, height=1080),
A.RandomCrop(width=1280, height=720),
A.Rotate(limit=40, p... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_init_weights.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.091669 | """
Example code of how to initialize weights for a simple CNN network.
Usually this is not needed as default initialization is usually good,
but sometimes it can be useful to initialize weights in a specific way.
This way of doing it should generalize to other network types just make
sure to specify and change the mo... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/Imbalanced_classes/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.092765 | """
This code is for dealing with imbalanced datasets in PyTorch. Imbalanced datasets
are those where the number of samples in one or more classes is significantly lower
than the number of samples in the other classes. This can be a problem because it
can lead to a model that is biased towards the more common classe... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_bidirectional_lstm.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.097628 | """
Example code of a simple bidirectional LSTM on the MNIST dataset.
Note that using RNNs on image data is not the best idea, but it is a
good example to show how to use RNNs that still generalizes to other tasks.
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-05-09 Initial coding
* ... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Projects/text_generation_babynames/generating_names.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.140138 | """
Text generation using a character LSTM, specifically we want to
generate new names as inspiration for those having a baby :)
Although this is for name generation, the code is general in the
way that you can just send in any large text file (shakespear text, etc)
and it will generate it.
Programmed by Aladdin Per... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/albumentations_tutorial/full_pytorch_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.143470 | import torch
import numpy as np
import cv2
from PIL import Image
import torch.nn as nn
import albumentations as A
from albumentations.pytorch import ToTensorV2
from torch.utils.data import Dataset
import os
class ImageFolder(Dataset):
def __init__(self, root_dir, transform=None):
super(ImageFolder, self).... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/albumentations_tutorial/segmentation.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.152487 | import cv2
import albumentations as A
import numpy as np
from utils import plot_examples
from PIL import Image
image = Image.open("images/elon.jpeg")
mask = Image.open("images/mask.jpeg")
mask2 = Image.open("images/second_mask.jpeg")
transform = A.Compose(
[
A.Resize(width=1920, height=1080),
A.Ra... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/albumentations_tutorial/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.158790 | import random
import cv2
from matplotlib import pyplot as plt
import matplotlib.patches as patches
import numpy as np
import albumentations as A
def visualize(image):
plt.figure(figsize=(10, 10))
plt.axis("off")
plt.imshow(image)
plt.show()
def plot_examples(images, bboxes=None):
fig = plt.figur... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_loadsave.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.782480 | """
Small code example of how to save and load checkpoint of a model.
This example doesn't perform any training, so it would be quite useless.
In practice you would save the model as you train, and then load before
continuining training at another point.
Video explanation of code & how to save and load model: https:... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_lr_ratescheduler.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.950684 | """
Example code of how to use a learning rate scheduler simple, in this
case with a (very) small and simple Feedforward Network training on MNIST
dataset with a learning rate scheduler. In this case ReduceLROnPlateau
scheduler is used, but can easily be changed to any of the other schedulers
available. I think simply ... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_rnn_gru_lstm.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.954728 | """
Example code of a simple RNN, GRU, LSTM on the MNIST dataset.
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-05-09 Initial coding
* 2022-12-16 Updated with more detailed comments, docstrings to functions, and checked code still functions as intended.
"""
# Imports
import torch
im... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_progress_bar.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.966747 | """
Example code of how to set progress bar using tqdm that is very efficient and nicely looking.
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-05-09 Initial coding
* 2022-12-19 Updated with more detailed comments, and checked code works with latest PyTorch.
"""
import torch
import ... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_pretrain_finetune.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:49.996436 | """
Shows a small example of how to load a pretrain model (VGG16) from PyTorch,
and modifies this to train on the CIFAR10 dataset. The same method generalizes
well to other datasets, but the modifications to the network may need to be changed.
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 202... |
aladdinpersson/Machine-Learning-Collection | https://github.com/aladdinpersson/Machine-Learning-Collection | null | null | null | null | 8,435 | null | null | mit | null | null | null | null | null | null | null | ML/Pytorch/Basics/pytorch_mixed_precision_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:50.107909 | """
Example code of how to use mixed precision training with PyTorch. In this
case with a (very) small and simple CNN training on MNIST dataset. This
example is based on the official PyTorch documentation on mixed precision
training.
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-04-10 I... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/datatype.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.129131 | #!/usr/bin/env python
from thirdparty.odict import OrderedDict
# Reference: https://www.kunxi.org/2014/05/lru-cache-in-python
class LRUDict(object):
"""
This class defines the LRU dictionary
>>> foo = LRUDict(capacity=2)
>>> foo["first"] = 1
>>> foo["second"] = 2
>>> foo["third"] = 3
>>> ... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/compat.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.132693 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import sys
if sys.version_info >= (3, 0):
xrange = range
else:
xrange = xrange
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/colorized.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.159573 | #!/usr/bin/env python
import os
import re
import sys
from core.enums import BACKGROUND
from core.enums import COLOR
from core.enums import SEVERITY
IS_TTY = hasattr(sys.stdout, "fileno") and os.isatty(sys.stdout.fileno())
class ColorizedStream:
def __init__(self, original):
self._original = original
... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/enums.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.334368 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import sys
from thirdparty import six
class _(type):
def __getattr__(self, attr):
return attr
@six.add_metaclass(_)
class TRAIL(object):
pa... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/addr.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.336432 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.compat import xrange
def addr_to_int(value):
_ = value.split('.')
return (int(_[0]) << 24) + (int(_[1]) << 16) + (int(_[2]) << 8... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.337582 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
pass
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/httpd.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.338683 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
import datetime
import glob
import gzip
import hashlib
import io
import json
import mimetypes
import os
import re
import... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/ignore.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.339854 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
# simple ignore rule mechanism configured by file 'misc/ignore_event.txt' and/or user defined `USER_IGNORELIST`
import ... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/common.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.568925 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
import csv
import gzip
import io
import os
import re
import sqlite3
import sys
import zipfile
import zlib
from core.ad... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/settings.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.953037 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
import os
import re
import socket
import stat
import struct
import subprocess
import sys
from core.addr import addr_to_... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/parallel.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:55.971367 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import os
import struct
import threading
import time
from core.common import load_trails
from core.enums import BLOCK_MARKER
from core.settings import BLOCK_... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/log.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.001925 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
import datetime
import json
import os
import re
import signal
import socket
import sys
import threading
import time
impo... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/attribdict.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.153331 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
class AttribDict(dict):
def __getattr__(self, name):
return self.get(name)
def __setattr__(self, name, value):
self[name] = value
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | plugins/peek.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.155374 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import sys
import string
import time
TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
def plugin(event_tuple, packet=None):
sec, usec, src_ip, src_port, dst_ip, dst_po... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/trailsdict.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.157187 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
class TrailsDict(dict):
def __init__(self):
self._trails = {}
self._regex = ""
self._infos = []
self._reverse_i... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | plugins/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.158092 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
pass
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | plugins/strings.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.159023 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
import sys
import time
TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
def plugin(event_tuple, packet=None):
sec, usec, src_ip, src_port, dst_ip, dst_port, ... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | core/update.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.182823 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function
import codecs
import csv
import glob
import inspect
import os
import re
import sqlite3
import sys
import time
sys.dont_... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | sensor.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.361691 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function # Requires: Python >= 2.6
import sys
sys.dont_write_bytecode = True
import cProfile
import inspect
import math
impor... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | server.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.796792 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from __future__ import print_function # Requires: Python >= 2.6
import sys
sys.dont_write_bytecode = True
import optparse
import os
import platform
import... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | thirdparty/odict/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:56.833206 | #!/usr/bin/env python
import sys
if sys.version_info[:2] >= (2, 7):
from collections import OrderedDict
else:
from ordereddict import OrderedDict
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/alienvault.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.002554 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://reputation.alienvault.com/reputation.generic"
__check__ = " # Malicious"
__info__ = "bad reputati... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/atmos.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.178221 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.common import fetch_headers
from core.common import retrieve_content
__url__ = "https://cybercrime-tracker.net/ccam.php"
__check__ = "At... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/custom/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.180809 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import glob
import os
import re
from core.settings import config
from core.settings import ROOT_DIR
from core.settings import UNICODE_ENCODING
from thirdpart... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | thirdparty/six/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.181429 | # Copyright (c) 2010-2024 Benjamin Peterson
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publi... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.182478 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
pass
|
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/abuseipdb.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.184286 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://raw.githubusercontent.com/borestad/blocklist-abuseipdb/main/abuseipdb-s100-1d.ipv4"
__check__ = "... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | thirdparty/odict/ordereddict.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.185494 | # Copyright (c) 2009 Raymond Hettinger
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish,... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/badips.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.797037 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://www.badips.com/get/list/any/2?age=7d"
__backup__ = "https://iplists.firehol.org/files/bi_any_2_7d... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/binarydefense.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:57.798420 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://www.binarydefense.com/banlist.txt"
__check__ = "ATIF feed"
__info__ = "known attacker"
__referenc... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/bitcoinnodes.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.097350 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://raw.githubusercontent.com/firehol/blocklist-ipsets/master/bitcoin_nodes_1d.ipset"
__check__ = "bi... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/blackbook.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.099289 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://raw.githubusercontent.com/stamparm/blackbook/master/blackbook.csv"
__check__ = "Malware"
__refere... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/cleantalk.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.294872 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.common import retrieve_content
__url__ = "https://iplists.firehol.org/files/cleantalk_1d.ipset"
__check__ = "[CleanTalk]"
__info__ = "sp... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/blocklist.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.296579 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://lists.blocklist.de/lists/all.txt"
__info__ = "known attacker"
__reference__ = "blocklist.de"
def... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/blackholemonster.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.298657 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://blackhole.monster/blackhole-today"
__check__ = ".1"
__info__ = "known attacker"
__reference__ = "... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/bruteforceblocker.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.300254 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "http://danger.rulez.sk/projects/bruteforceblocker/blist.php"
__check__ = "Last Reported"
__info__ = "know... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/ciarmy.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.301591 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "http://cinsscore.com/list/ci-badguys.txt"
__info__ = "known attacker"
__reference__ = "cinsscore.com"
de... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/botscout.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.302136 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://raw.githubusercontent.com/firehol/blocklist-ipsets/master/botscout_1d.ipset"
__check__ = "botscou... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/cybercrimetracker.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.631244 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.common import fetch_headers
from core.common import retrieve_content
__url__ = "https://cybercrime-tracker.net/all.php"
__check__ = "cp.... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/cobaltstrike.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.657368 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import datetime
from core.common import retrieve_content
__url__ = "https://raw.githubusercontent.com/fox-it/cobaltstrike-extraneous-space/master/cobaltstri... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/dshieldip.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.725307 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://iplists.firehol.org/files/dshield_top_1000.ipset"
__check__ = ".1"
__info__ = "known attacker"
__... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/dataplane.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.762143 | #!/usr/bin/env python
"""
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://dataplane.org/*.txt"
__check__ = "Dataplane.org"
__info__ = "known attacker"
__reference__ = "dataplane.org"
def fetch():
retval = {}
for url in ("https://dataplane.org/dns... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/emergingthreatsdns.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.888401 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import binascii
import re
from core.common import retrieve_content
__url__ = "https://rules.emergingthreats.net/open/suricata/rules/emerging-malware.rules"
... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/emergingthreatsbot.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.891638 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.common import retrieve_content
__url__ = "https://rules.emergingthreats.net/open/suricata/rules/botcc.rules"
__check__ = "CnC Server"
__... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/emergingthreatscip.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.895382 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://rules.emergingthreats.net/open/suricata/rules/compromised-ips.txt"
__info__ = "compromised (suspi... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/feodotrackerip.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.896281 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://feodotracker.abuse.ch/downloads/ipblocklist_recommended.txt"
__check__ = "Feodo"
__info__ = "emot... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/fareit.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.908850 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
import re
from core.common import fetch_headers
from core.common import retrieve_content
__url__ = "https://cybercrime-tracker.net/ccpmgate.php"
__check__ =... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/gpfcomics.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:58.987737 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
__url__ = "https://iplists.firehol.org/files/gpf_comics.ipset"
__check__ = "comics"
__info__ = "known attacker"
__re... |
stamparm/maltrail | https://github.com/stamparm/maltrail | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | trails/feeds/greensnow.py | null | null | null | null | null | null | Python | 2026-05-04T02:10:59.219240 | #!/usr/bin/env python
"""
Copyright (c) 2014-2026 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from core.common import retrieve_content
from core.settings import NAME
__url__ = "https://blocklist.greensnow.co/greensnow.txt"
__check__ = ".1"
__info__ = ... |
gelstudios/gitfiti | https://github.com/gelstudios/gitfiti | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | tests/test_str_to_sprite.py | null | null | null | null | null | null | Python | 2026-05-04T02:11:01.531545 | from gitfiti import str_to_sprite, ONEUP_STR
SYMBOLS = '''
*******
*=~~-~~=*
*~~---~~*
*=*****=*
**-*-*-**
*-----*
*****
'''
NUMBERS = [
[0,4,4,4,4,4,4,4,0],
[4,3,2,2,0,2,2,3,4],
[4,2,2,0,0,0,2,2,4],
[4,3,4,4,4,4,4,3,4],
[4,4,0,4,0,4,0,4,4],
[0,4,0,0,0,0,0,4,0],
[0,0,4,4,4,4,4,0,0],
]
def tes... |
gelstudios/gitfiti | https://github.com/gelstudios/gitfiti | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | gitfiti.py | null | null | null | null | null | null | Python | 2026-05-04T02:11:01.532318 | #!/usr/bin/env python
#
# Copyright (c) 2013 Eric Romano (@gelstudios)
# released under The MIT license (MIT) http://opensource.org/licenses/MIT
#
"""
gitfiti
noun : Carefully crafted graffiti in a GitHub commit history calendar
"""
from datetime import datetime, timedelta
import itertools
import json
import math
imp... |
gelstudios/gitfiti | https://github.com/gelstudios/gitfiti | null | null | null | null | 8,426 | null | null | mit | null | null | null | null | null | null | null | tests/test_find_max_daily_commits.py | null | null | null | null | null | null | Python | 2026-05-04T02:11:01.607542 | from gitfiti import find_max_daily_commits, parse_contributions_calendar
CONTRIBUTIONS_CALENDAR_SVG = '''\
<svg width="721" height="110" class="js-calendar-graph-svg">
<g transform="translate(20, 20)">
<g transform="translate(624, 0)">
<rect class="day" width="11" height="11" y="0" fill="#eeeeee" da... |
lucidrains/imagen-pytorch | https://github.com/lucidrains/imagen-pytorch | null | null | null | null | 8,407 | null | null | mit | null | null | null | null | null | null | null | imagen_pytorch/data.py | null | null | null | null | null | null | Python | 2026-05-04T02:11:05.052618 | from pathlib import Path
from functools import partial
import torch
from torch import nn
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms as T
from imagen_pytorch import t5
from torch.nn.utils.rnn import pad_sequence
from PIL import Image
from datasets.utils.file_utils import get_d... |
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