bigcode/jupyter-parsed · Datasets at Hugging Face

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face_detection.ipynb

vivek7415/face_detection

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face_detection.ipynb

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face_detection.ipynb

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[ [ [ "import cv2", "_____no_output_____" ], [ "face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\neye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')\nsmile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')", "_____no_output_____" ], ...

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module2-random-forests/Ahvi_Blackwell_LS_DS_222_assignment.ipynb

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object-detection/ex12_05_keras_VGG16_transfer.ipynb

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object-detection/ex12_05_keras_VGG16_transfer.ipynb

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[ [ [ "# List all NVIDIA GPUs as avaialble in this computer (or Colab's session)\n!nvidia-smi -L", "zsh:1: command not found: nvidia-smi\n" ], [ "import sys\nprint( f\"Python {sys.version}\\n\" )\n\nimport numpy as np\nprint( f\"NumPy {np.__version__}\" )\n\nimport matplotlib.pyplot as p...

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notebooks/pytorch/pytorch_benchmarking.ipynb

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[ [ [ "# Imports and Paths", "_____no_output_____" ] ], [ [ "import torch\nfrom torch import nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nimport numpy as np\nimport pandas as pd\nimport os\nimport shutil\nfrom skimage import io, transform\n\nimport torchvision\ni...

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Jupyter Notebook

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[ [ [ "Import-Module ./qsharp.psd1", "_____no_output_____" ], [ "Build-QuantumProgram @\"\n open Microsoft.Quantum.Diagnostics;\n operation SampleQrng() : Bool {\n use q = Qubit();\n H(q);\n DumpMachine();\n return M(q) == One;\n }\n\"@", "_____...

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[ [ [ "import pandas as pd\nimport numpy as np\n\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import Imputer\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.model_selection import cross_val_score\nfrom sklearn.model_selection import GridSearchCV\n\nfro...

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2nd place - Ensemble/Brainiac_Numpy_Extration_for_25_Periods.ipynb

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2nd place - Ensemble/Brainiac_Numpy_Extration_for_25_Periods.ipynb

RadiantMLHub/spot-the-crop-xl-challenge

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[ [ [ "# Install libraries\n!pip -qq install rasterio tifffile", "_____no_output_____" ], [ "# Import libraries\nimport os\nimport glob\nimport shutil\nimport gc\nfrom joblib import Parallel, delayed\nfrom tqdm import tqdm_notebook\nimport h5py\n\nimport pandas as pd\nimport numpy as np\...

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[ [ [ "### Amazon Sentiment Data", "_____no_output_____" ] ], [ [ "%load_ext autoreload\n%autoreload 2", "_____no_output_____" ], [ "import lxmls.readers.sentiment_reader as srs\nfrom lxmls.deep_learning.utils import AmazonData\ncorpus = srs.SentimentCorpus(\"book...

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[ [ [ "# Explore endangered languages from UNESCO Atlas of the World's Languages in Danger\n\n### Input\n\nEndangered languages\n\n- https://www.kaggle.com/the-guardian/extinct-languages/version/1 (updated in 2016)\n- original data: http://www.unesco.org/languages-atlas/index.php?hl=en&page=atlasmap (publis...

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[ [ [ "# Polynomials Class", "_____no_output_____" ] ], [ [ "from sympy import *\nimport numpy as np\nx = Symbol('x')\nclass polinomio:\n def __init__(self, coefficienti: list):\n self.coefficienti = coefficienti\n self.grado = 0 if len(self.coefficienti) == 0 else l...

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Math Programs/Factorial.ipynb

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[ [ [ "# Using for loop\r\n\r\ndef factorial_1(n):\r\n f = 1\r\n for i in range(1,n+1):\r\n f = f*i\r\n return f\r\n ", "_____no_output_____" ], [ "factorial_1(5)", "_____no_output_____" ], [ "for i in range(1,11):\r\n print(f\"{i} ! = {facto...

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notebooks/TestDataFrame.ipynb

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[ [ [ "# import pandas as pd\n# data = {'Name':['Tom', 'Jack', 'nick', 'juli'],\n# 'marks':[99, 98, 95, 90], \n# 'ddn':[1958, 2012, 1235, 1023]}\n \n# # Creates pandas DataFrame.\n# df = pd.DataFrame(data, index =['rank1',\n# 'rank2',\n# ...

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notebooks/testing/previously in ignored file/f-Find-Overlapping-Landsat-Scenes-TEST.ipynb

sarahmjaffe/sagebrush-ecosystem-modeling-with-landsat8

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2020-06-30T19:30:07.000Z

scripts/f-Find-Overlapping-Landsat-Scenes-TEST.ipynb

kessb/sagebrush-ecosystem-modeling

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scripts/f-Find-Overlapping-Landsat-Scenes-TEST.ipynb

kessb/sagebrush-ecosystem-modeling

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[ [ [ "# Function to list overlapping Landsat 8 scenes\nThis function is based on the following tutorial: http://geologyandpython.com/get-landsat-8.html\n\nThis function uses the area of interest (AOI) to retrieve overlapping Landsat 8 scenes. It will also output on the scenes with the largest portion of o...

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site/id/tutorials/keras/save_and_load.ipynb

NarimaneHennouni/docs-l10n

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site/id/tutorials/keras/save_and_load.ipynb

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site/id/tutorials/keras/save_and_load.ipynb

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4. Convolutional Neural Networks/Residual Networks v2a.ipynb

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[ [ [ "# Residual Networks\n\nWelcome to the second assignment of this week! You will learn how to build very deep convolutional networks, using Residual Networks (ResNets). In theory, very deep networks can represent very complex functions; but in practice, they are hard to train. Residual Networks, introd...

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[ [ [ "# Project 3 Sandbox-Blue-O, NLP using webscraping to create the dataset\n\n## Objective: Determine if posts are in the SpaceX Subreddit or the Blue Origin Subreddit\n\nWe'll utilize the RESTful API from pushshift.io to scrape subreddit posts from r/blueorigin and r/spacex and see if we cannot use the...

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[ [ [ "Uses Fine-Tuned BERT network to classify biomechanics papers from PubMed", "_____no_output_____" ] ], [ [ "# Check date\n!rm /etc/localtime\n!ln -s /usr/share/zoneinfo/America/Los_Angeles /etc/localtime\n!date\n# might need to restart runtime if timezone didn't change", ...

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[ [ [ "# Wilcoxon and Chi Squared", "_____no_output_____" ] ], [ [ "import numpy as np\nimport pandas as pd\n\ndf = pd.read_csv(\"prepared_neuror2_data.csv\")", "_____no_output_____" ], [ "def stats_for_neuror2_range(lo, hi):\n admissions = df[df.NR2_Score.betw...

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