pgollakota's Stars
mariostoev/finviz
Unofficial API for finviz.com
deezer/spleeter
Deezer source separation library including pretrained models.
SheffieldML/GPy
Gaussian processes framework in python
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
stephenslab/ipynb-website
Simple data science website using Jupyter notebooks.
automeris-io/WebPlotDigitizer
Computer vision assisted tool to extract numerical data from plot images.
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Kaggle/docker-python
Kaggle Python docker image
AmrEldib/cmder-powerline-prompt
Custom prompt for Cmder on Windows
mission-peace/interview
Interview questions
colin-scott/interactive_latencies
Jeff Dean's latency numbers plotted over time
yaringal/BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
quantopian/qgrid
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
PaddlePaddle/VisualDL
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
benhamner/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
devendrachaplot/Neural-Localization
Train an RL agent to localize actively (PyTorch)
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
daiwk/ml-yearning
hardikvasa/google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Far0n/kaggletils
RaulPL/awesome-gaussian-processes
A curated list of resources for learning Gaussian Processes
daynebatten/keras-wtte-rnn
Demo Weibull Time-to-event Recurrent Neural Network in Keras
maciejkula/spotlight
Deep recommender models using PyTorch.
Isminoula/DL-to-Rank
Learning to Rank with Deep Neural Networks
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
reshamas/fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
hadley/stats337
Readings in applied data science
joshuacortez/bayesian-blog
Code and explanations on modeling a collegiate basketball tournament using pymc
pymc-devs/pymc-resources
PyMC educational resources
junpenglao/GLMM-in-Python
Generalized linear mixed-effect model in Python