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import excursion
import excursion.optimi... | examples/MaskedExample.ipynb |
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# + id="8vs4O0IglwpY"
import numpy as np
import pandas as pd
from sklearn.mod... | MachineLearning/28_Housing_Price/linearRegression/Boston_Housing_Dataset.ipynb |
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# name: conda-env-PromoterArchitectu... | src/data_sorting/extract_promoter.ipynb |
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# # PROMISE12 prostate segmentation demo
# ## Prepara... | demos/PROMISE12/PROMISE12_Demo_Notebook.ipynb |
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# # Introduction : Email discovery
# + ac... | Email_Discovery/Email_discovery.ipynb |
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# # Exercise 7 - Strings
#
# Until now, we have mainly... | jupyterbook/content-de/python/lab/ex07-strings.ipynb |
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# # House Prices : Advanced Regression Techniques(subm... | House-Prices/House-Prices.ipynb |
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# ## Import the relevant libraries
#
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
f... | Notebook_1_Basic.ipynb |
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# Currently stacks using weighted average on predicted... | notebooks/18-jc-stacking.ipynb |
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# <figure>
# <IMG SRC="https://mamba-python... | Exercise_notebooks/On_topic/09_Code_Quality/02_common_pitfalls.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | Rethinking/end-of-chapter-practice-problems/ch-2.ipynb |
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# # GUARDADO DE DATOS EN BRUTO DE CADA CICLÓN
import ... | script_generacion_dataset/cyclone_files_generator.ipynb |
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# ## How to complete a Kaggle Competition with Machine... | 1-titanic_EDA_first_models.ipynb |
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# MODIFY!
notebook_name = 'score'
# # Import Libaries... | 1-dl-project/dl-9-score-analysis.ipynb |
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# 模块使用
# # 1 scipy.io
# ## 读取矩阵数据
import numpy as np... | python-statatics-tutorial/basic-theme/scipy_basic/details.ipynb |
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import pandas
from datetime import datetime as dt
... | Practice/Data Analysis & Visualisation/Plotting Data.ipynb |
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# # 2値分類の例題
# 映画のレビュー文章を肯定的なレビューと否定的なレビューに分類する
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# ... | binary_classification.ipynb |
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# # Training a Neural Network using Augmentor and Kera... | notebooks/Augmentor_Keras.ipynb |
# -*- coding: utf-8 -*-
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# # Q# notebooks #
#
# This notebook... | samples/getting-started/intro-to-iqsharp/Notebook.ipynb |
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# %matplotlib inline
import numpy as np
im... | Python/boston_price.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | module2-sampling-confidence-intervals-and-hypothesis-testing/LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing.ipynb |
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#Needed in general
from __future__ import division... | plottingCode/.ipynb_checkpoints/Spin -checkpoint.ipynb |
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# + [markdown] id="oBlTecNJP2WJ"
# # Reference
#
# Thi... | samples/week07/04-using-a-pretrained-convnet.ipynb |
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# ### Mask-RCNN evaluate model. Balloon dataset
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i... | src/notebooks/example_evaluate_model_balloon.ipynb |
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import numpy as np
import matplotlib.pyplot... | DocumentRetrival.ipynb |
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# # Tensorflow Sessions statically run Tensorflow Grap... | notebooks/.ipynb_checkpoints/Tensorflow Sessions statically run Tensorflow Graphs.-checkpoint.ipynb |
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# # 12. Pandas
# pandas is great way to manipilate da... | 12. Pandas/.ipynb_checkpoints/main-checkpoint.ipynb |
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from os import path
from backbone.dihedral... | notebooks/calc_dihedral.ipynb |
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# + jupyter={"outputs_hidden": false}
# %matplotlib in... | docs/notebooks/dispersion/dispersion_function.ipynb |
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import tensorflow
import pandas as pd
import numpy as ... | utils/notebooks/model_systolic_diastolic_excluded.ipynb |
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# # Standard problem 3
#
# ## Problem spec... | docs/07-tutorial-standard-problem3.ipynb |
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import numpy as np
def fit(x_train,y_train):
res... | naive bayes.ipynb |
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# # CS 224U Jupyter Notebook Tutorial
#
# Luc... | jupyter_notebook_tutorial.ipynb |
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import pydicom as dicom
import numpy as np
import matp... | All img test.ipynb |
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# # 07 - Data Visualization
# ## ... | solutions/07_data_visualization.ipynb |
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# # 前言
# 这几年机器学习这种从经验学习的软件技术重现光明。在计算机诞生的早期，机器学习的概念已经出... | posts/0-perface.ipynb |
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# # Distrib... | Advanced workshops/AI Driving Olympics 2019/challenge_train_DQN/deepracer_rl.ipynb |
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# # Project: Linear Regression
#
# Reggie ... | Reggie's Linear Regression (2)/Reggie_Linear_Regression_Skeleton.ipynb |
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# # Forecasting the future incidence of highly pathoge... | training.ipynb |
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# Import Libraries
import numpy as np
import pandas as... | solutions/hw2/FINM36700_HW2-1.ipynb |
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# + [markdown] id="Yt3mUS3Jx5qE"
# # Large-scale multi... | examples/nlp/ipynb/multi_label_classification.ipynb |
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# ## Regression plots
# +
# %matplotlib inline
from ... | Regression Plots.ipynb |
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# # **DSFM Exercise**: Natural language processing
# ... | exercises/nlp-text/nlp-text.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Homework/hw3/hw3_training.ipynb |
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# # Example jupyternotebook workflow for pyjugex
#
# T... | nb.ipynb |
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# ## Config
import os
os.environ['CUDA_VISIBLE_DEVICES']... | experiments/mnist-cef-joint.ipynb |
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# Cute Gists
# +
% matplotlib inline
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
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# ## GRCh37 New chainSelf and Segdups
# This notebook shows th... | GRCh37/SegmentalDuplications/GRCh37_new_chainSelf_and_Segdups.ipynb |
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# ## Flattening a nested linked list
#
# Suppose you h... | linked_lists/Flattening a nested linked list.ipynb |
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# # Linear Regression Explained
# <table align="left"... | Machine-Learning-Explained/Linear Regression Explained.ipynb |
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# #%load_ext autoreload
# #%autoreload 2
from sin... | Fig 3c - Second Order Poisson Operator.ipynb |
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from Bio import SeqIO
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# #!unxz mnist.out.xz
# -
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# %pylab inline
# %config InlineBackend.figure_for... | Week 7.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_c... | eda/energy_forecast.ipynb |
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from data_loader.dataloader import *
from data_loader ... | Trial test and results.ipynb |
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# # Nodejs MNIST model Deployment
#
# * Wrap a nodejs... | examples/models/nodejs_mnist/nodejs_mnist.ipynb |
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# # Python Reference - Encapsulation
# **Author:** <NA... | OOP/Encapsulation.ipynb |
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# # Lists
# +
myList=[11,42,15,64,80,32,12] #creati... | Tutorial 2 - Lists, Tuples, and Dictionaries.ipynb |
# -*- coding: utf-8 -*-
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# # Plots.jl gallery
#
# S... | docs/plotsjl-gallery.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment6.ipynb |
# -*- coding: utf-8 -*-
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using LinearAlgebr... | Algorithms/ClosestPair.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tut08/08 M3 Tutoria18-06-2021 Funciones Activacion.ipynb |
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# # Training a text class... | ch4/text_standalone_dataset_classifier.ipynb |
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# # Chest X-Ray Medical Diagnosis with Deep Learning
... | AI for Medical Diagnosis/Week 1/Chest X-Ray Medical Diagnosis with Deep Learning.ipynb |
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# # Use Tensorflow to recognize hand-written digits wi... | cpd3.5/notebooks/rest_api/curl/experiments/deep_learning/Use Tensorflow to recognize hand-written digits.ipynb |
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# # Customizing QuickPlot
# This notebook shows how t... | examples/notebooks/customize-quick-plot.ipynb |
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# ## DATE TIME FUNTIONALITY IN PANDAS
import pandas a... | pandas/week3_DateTime.ipynb |
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# +
import numpy as np
import time
from numpy import *... | examples/double_pendulum_400HZ_5%noise.ipynb |
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# + [markdown] id="cedtXySEYb28"
# <div class="alert a... | Homework_04.ipynb |
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import datetime
import torch
import torch.nn as nn
import ... | numerical-test.ipynb |
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# %matplotlib inline
import matplotlib
import nump... | examples/tf_AutoEncoderForGeometricShapingAndBlindAwgn.ipynb |
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import os
import pandas as pd
import n... | EZPlotlyBioExamples.ipynb |
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# + [markdown] id="1dxguN98xxQT" colab_type="text"
# # Mystery File!
#
# The ... | modules/module-01/notebook.ipynb |
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# +
# To compare this GM81 process to Chen 2019, as a ... | archive/GM/.ipynb_checkpoints/gm_check2-checkpoint.ipynb |
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# # Streaming Algorithms in Machine Learnin... | scientific_details_of_algorithms/streaming_median/streamingMedian.py.ipynb |
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# ### Content Based Recommendations
#
# In the previou... | Content Based Recommendation/Content Based Recommendations.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Apple Stock Price Prediction Feb to May .ipynb |
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import tensor... | Basics-Tutorial/Multiple-Workers/Local-then-Global-Variables-Worker1.ipynb |
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# + [markdown] colab_type="text" id="lW-qXiPUHMDS"
# #... | EDA/StackOverflow19_Developer_Dataset/Data_Cleaning.ipynb |
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# # Download and store STOOQ ... | ml4trading-2ed/data/create_stooq_data.ipynb |
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# +
import numpy as np
import xarray as xr
import net... | numerics/netCDF/netCDF.ipynb |
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# + id="X8KTofTcDIFD" colab_type="code" outputId="b2009236-e72b-4d7c-a17f-35a... | model/garbage_detection_quantized.ipynb |
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from netCDF4 import Dataset, MFDataset, num2date
impor... | miscellaneous/zipnctemp-test.ipynb |
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# ## Observations and Insights
#
# +
# Dependencies... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# +
#this script will create a graph to be used for th... | final_code_JINWOOLEE/create_graph.ipynb |
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# Euler Problem 40
# ================
#
# An irrationa... | Euler 040 - Champernowne's constant.ipynb |
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# # Object Detection with SSD
# ### Here we demostrate... | demo/demo.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | INSAID/Course_Material/Term1-ML/Logistic_Regression/Quiz_question_3.ipynb |
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# + [markdown] id="gyu1ziDNoVpx"
# ### Data preparation
# + id="IxT1MnlGft6b... | Turkey/general_stats.ipynb |
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import re
import os
import numpy as np
imp... | notebook/evaluation_of_false_localization_on_marx_synthetic_peptides.ipynb |
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# + [markdown] id="D-nk_Xwhfir9"
# Import all needed library
# + id="U4YGG9J... | Week 5/Machine Learning with Iris Dataset.ipynb |
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# <h1><center>BAG of Word</center></h1>
## Only run t... | Practice/P9_Bag_of_words.ipynb |
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# # Desagregação dos dados da bacia do Parnaíba usando... | analysis/DESAGREG_FATURAMENTO_PARNAIBA.ipynb |
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# Import
import pandas as pd
from openpyxl import load... | Python/hackjak/App.ipynb |
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# + [markdown] _uuid="8f2839f25d086af736a60e9eeb907d3b... | 9 google customer revenue prediction/v2-flatten-all-the-json-filelds.ipynb |
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import rosbag_pandas
import pandas as pd
import nu... | scripts/compare.ipynb |
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# # Find Successor
# [link](https://www.algoexpert.io/questions/Find%20Successor)
# ## My Solution
# +
# This is an input class. Do not edit... | algoExpert/find_successor/solution.ipynb |
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# # Deep Learning in Audio Classification in Python
i... | Scripts/Data_Preprocess_Build_Save_Model.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
p... | notebooks/Ergast_Data.ipynb |