CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 9857 aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) aymericdamien/TensorFlow-Examples 4909 TensorFlow tutorials and code examples for beginners fivethirtyeight/data 3538 Data and code behind the stories and interactives at FiveThirtyEight karpathy/neuraltalk2 2346 Efficient Image Captioning code in Torch, runs on GPU rhiever/Data-Analysis-and-Machine-Learning-Projects 2281 Repository of teaching materials, code, and data for my data analysis and machine learning projects. pkmital/tensorflow_tutorials 2195 From the basics to slightly more interesting applications of Tensorflow wesm/pydata-book 1784 Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media rasbt/pattern_classification 1715 A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks rlabbe/Kalman-and-Bayesian-Filters-in-Python 1603 Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. rasbt/python-machine-learning-book 1594 The "Python Machine Learning" book code repository and info resource rasbt/python_reference 1548 Useful functions, tutorials, and other Python-related things markdregan/Bayesian-Modelling-in-Python 1349 A python tutorial on bayesian modeling techniques (PyMC3) jrjohansson/scientific-python-lectures 1277 Lectures on scientific computing with python, as IPython notebooks. mpld3/mpld3 1236 D3 Renderings of Matplotlib Graphics thalesians/pythalesians 1208 Python library to backtest trading strategies, plot charts, seamlessly download market data, analyse market patterns etc. nborwankar/LearnDataScience 1168 Open Content for self-directed learning in data science tmbdev/ocropy 1107 Python-based tools for document analysis and OCR coodict/python3-in-one-pic 1098 Learn python3 in one picture. ogrisel/parallel_ml_tutorial 1084 Tutorial on scikit-learn and IPython for parallel machine learning DrSkippy/Data-Science-45min-Intros 905 Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques facebook/iTorch 876 IPython kernel for Torch with visualization and plotting Microsoft/ProjectOxford-ClientSDK 861 The official home for the Microsoft Cognitive Services client SDK and samples justmarkham/DAT8 827 General Assembly's Data Science course in Washington, DC amaboura/panama-papers-dataset-2016 669 Structured data about Panama papers collected from official ICIJ website nivwusquorum/tensorflow-deepq 664 A deep Q learning demonstration using Google Tensorflow ipython-books/cookbook-code 648 Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python quantopian/pyfolio 636 Portfolio and risk analytics in Python lijin-THU/notes-python 613 中文 Python 笔记 BIDData/BIDMach 601 CPU and GPU-accelerated Machine Learning Library jmschrei/pomegranate 572 Fast, flexible and easy to use probabilistic modelling in Python. adamhajari/spyre 569 a web application framework for python jakevdp/sklearn_pycon2015 491 Materials for my Pycon 2015 scikit-learn tutorial. jupyter/docker-stacks 466 Opinionated stacks of ready-to-run Jupyter applications in Docker. piiswrong/deep3d 461 Automatic 2D-to-3D Video Conversion with CNNs IRkernel/IRkernel 457 R kernel for Jupyter fluxcapacitor/pipeline 457 Real-time, End-to-End, Advanced Analytics and Machine Learning Recommendation Pipeline unpingco/Python-for-Signal-Processing 447 Notebooks for "Python for Signal Processing" book justmarkham/scikit-learn-videos 437 IPython notebooks from the scikit-learn video series ipython/ipython-in-depth 433 IPython in-depth Tutorial, first presented at PyCon 2012 AllenDowney/ThinkStats2 409 Text and supporting code for Think Stats, 2nd Edition Yangqing/caffe2 409 This is currently an experimental refactoring of Caffe. jcjohnson/densecap 406 Dense image captioning in Torch richzhang/colorization 392 Demo code for Colorful Image Colorization. torch/tutorials 381 A series of machine learning tutorials for Torch7 rainyear/pytips 371 Useful Python tips! soumith/cvpr2015 367 elastic/examples 363 Home for Elasticsearch examples available to everyone. It's a great way to get started. amueller/introduction_to_ml_with_python 351 Notebooks and code for the book "Introduction to Machine Learning with Python" addfor/tutorials 347 mila-udem/summerschool2015 310 Slides and exercises for the Deep Learning Summer School 2015 programming tutorials avehtari/BDA_py_demos 308 Bayesian Data Analysis demos for Python Blosc/bcolz 307 A columnar data container that can be compressed. lmcinnes/hdbscan 306 A high performance implementation of HDBSCAN clustering. ogrisel/notebooks 300 Some sample IPython notebooks for scikit-learn yandex/rep 295 Machine Learning toolbox for Humans fmfn/UnbalancedDataset 294 Python module to perform under sampling and over sampling with various techniques. carpedm20/NTM-tensorflow 294 Neural Turing Machine in Tensorflow cyberwizardinstitute/workshops 289 lecture notes for cyberwizard workshops gcr/torch-residual-networks 280 This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges. bmabey/pyLDAvis 276 Python library for interactive topic model visualization. Port of the R LDAvis package. tmbdev/clstm 267 A small C++ implementation of LSTM networks, focused on OCR. dennybritz/nn-from-scratch 265 Implementing a Neural Network from Scratch GoogleCloudPlatform/datalab 264 Interactive tools and developer experiences for Big Data on Google Cloud Platform. aloctavodia/Doing_bayesian_data_analysis 259 Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke numerical-mooc/numerical-mooc 244 A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments. ianozsvald/data_science_delivered 236 Observations from Ian on successfully delivering data science products jadianes/spark-py-notebooks 231 Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks nivwusquorum/6.006-2015-notebooks 230 uwescience/shablona 226 A template for small scientific python projects maxpumperla/betago 226 BetaGo: AlphaGo for the masses, live on github. justmarkham/DAT4 225 General Assembly's Data Science course in Washington, DC lijin-THU/notes-machine-learning 224 My Notes on Machine Learning rasbt/matplotlib-gallery 223 Examples of matplotlib codes and plots pysal/pysal 212 PySAL is an open source cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis. brandon-rhodes/pycon-pandas-tutorial 212 PyCon 2015 Pandas tutorial materials aaren/notedown 212 Markdown <=> IPython Notebook learnml/machine-learning-specialization 209 AllenDowney/ThinkDSP 209 LaTeX source and Python code for "Think DSP: Digital Signal Processing in Python", by Allen B. Downey. agconti/kaggle-titanic 209 A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques. jakevdp/sklearn_pycon2014 208 Repository containing files for my PyCon 2014 scikit-learn tutorial. millejoh/emacs-ipython-notebook 207 IPython 2.x/3.x notebook client in Emacs sandialabs/toyplot 205 Interactive plotting for Python. UCBAIR/decaf-release 200 Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community! jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews 197 Files for Udemy Course on Algorithms and Data Structures jadianes/data-science-your-way 197 Ways of doing Data Science Engineering and Machine Learning in R and Python CreativeInquiry/terrapattern 197 Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery. emergingstack/es-dev-stack 195 An on-premises, bare-metal solution for deploying GPU-powered applications in containers esokolov/ml-course-msu 191 Lecture notes and code for Machine Learning practical course on CMC MSU BinPy/BinPy 176 An electronic simulation library written in pure Python jakevdp/sklearn_pycon2013 176 Files for my scikit-learn tutorial at PyCon 2013 gboeing/urban-data-science 171 Course materials, IPython notebooks, tutorials, and guides for the urban data science course jdwittenauer/ipython-notebooks 170 A collection of IPython notebooks covering various topics. BuzzFeedNews/2016-01-tennis-betting-analysis 170 Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016. justmarkham/DAT7 166 General Assembly's Data Science course in Washington, DC kaleko/CourseraML 166 I'm taking Andrew Ng's Machine Learning course on Coursera and doing the homework assigments... but, on my own in python because Octave? Really? pannous/caffe-speech-recognition 161 Speech Recognition with the Caffe deep learning framework, migrating to rasbt/algorithms_in_ipython_notebooks 157 A repository with IPython notebooks of algorithms implemented in Python. fbkarsdorp/python-course 156 Tutorial and introduction into programming with Python for the humanities fastforwardlabs/anomaly_detection 154 JWarmenhoven/ISLR-python 154 An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code fonnesbeck/Bios8366 153 Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics Russell91/TensorBox 152 Russell91/ReInspect 151 End to end detection in crowded scenes danielfrg/pelican-ipynb 148 Pelican plugin for blogging with Jupyter/IPython Notebooks barbagroup/AeroPython 145 Classical Aerodynamics of potential flow using Python, for Prof. Barba's course at GW (1st version:Spring 2014, 2nd run:2015). jupyter-incubator/dashboards 144 Jupyter Dynamic Dashboards from Notebooks crosscompute/crosscompute-tutorials 143 Tutorials for building analytical tools JuliaLang/JuliaBox 142 Run Julia in the browser pdollar/coco 141 MS COCO API - http://mscoco.org/ james91b/ida_ipython 138 An IDA Pro Plugin for embedding an IPython Kernel jadianes/spark-movie-lens 138 An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset jmportilla/Complete-Python-Bootcamp 136 Lectures for Udemy - Complete Python Bootcamp Course fsprojects/IfSharp 134 F# Profile for iPython Notebook 1.x and 2.x (for Jupyter see branch) chris1610/pbpython 131 Code, Notebooks and Examples from Practical Business Python damontallen/IPython-quick-ref-sheets 131 This is ongoing work developing quick reference sheets for IPython UKPLab/deeplearning4nlp-tutorial 130 Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP) quantopian/research_public 130 Quantopian research projects stitchfix/fauxtograph 128 Tools for using a variational auto-encoder for latent image encoding and generation. ellisonbg/altair 127 High-level declarative visualization library for Python fonnesbeck/scipy2014_tutorial 127 Tutorial: Bayesian Statistical Analysis in Python claesenm/optunity 126 optimization routines for hyperparameter tuning minimaxir/facebook-page-post-scraper 126 Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis hunkim/effective_python_notebook 125 nilmtk/nilmtk 124 Non-Intrusive Load Monitoring Toolkit (nilmtk) nivwusquorum/tf-adversarial 119 Adversarial networks in TensorFlow rasbt/datacollect 116 A collection of tools to collect and download various data. maciejjaskowski/deep-q-learning 113 santosjorge/cufflinks 112 Productivity Tools for Plotly + Pandas Lab41/sunny-side-up 112 Sentiment Analysis Challenge GPflow/GPflow 111 Gaussian processes in TensorFlow gboeing/data-visualization 111 Miscellaneous data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet) rainyear/lolita 111 Using github's issue system as lightweight notes & blog. jacquerie/senato.py 110 A scraper for the data made available by the Italian Senate, and a cluster analysis to detect similar amendments. udacity/machine-learning 108 Content for Udacity's Machine Learning curriculum diefimov/MTH594_MachineLearning 107 The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah) poppy-project/poppy-humanoid 106 Poppy Humanoid is an open-source and 3D printed humanoid robot. Optimized for research and education purposes, its modularity allows for a wide range of applications and experimentations. yhilpisch/dx 105 DX Analytics Brunel-Visualization/Brunel 104 Brunel Visualization sjchoi86/Tensorflow-101 104 TensorFlow Tutorials savarin/pyconuk-introtutorial 104 practical introduction to pandas and scikit-learn via Kaggle problems mikesj-public/convolutional_autoencoder 104 Code for a convolutional autoencoder written on python, theano, lasagne, nolearn arq5x/poretools 104 a toolkit for working with Oxford nanopore data bokeh/bokeh-notebooks 103 Interactive Web Plotting with Bokeh in IPython notebook linanqiu/word2vec-sentiments 103 Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code") ducha-aiki/caffenet-benchmark 103 Evaluation of the CNN design choices performance on ImageNet-2012. mjbommar/scotus-predict 102 Supreme Court prediction project Azure/Azure-MachineLearning-DataScience 99 udibr/headlines 98 Automatically generate headlines to short articles andrewray/iocaml 97 An OCaml kernel for the IPython notebook jakevdp/ipywidgets-static 97 [obsolete] Static Widgets for IPython Notebooks alexminnaar/time-series-classification-and-clustering 97 Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside uricamic/clandmark 96 Open Source Landmarking Library jazzsaxmafia/show_attend_and_tell.tensorflow 95 ebenolson/pydata2015 94 jakevdp/sklearn_tutorial 93 Materials for my scikit-learn tutorial jvns/neural-nets-are-weird 92 urinieto/msaf 91 Music Structure Analysis Framework alexanderkuk/log-progress 90 Widget based progress bar for Jupyter jazzsaxmafia/show_and_tell.tensorflow 89 kracwarlock/action-recognition-visual-attention 88 Action recognition using soft attention based deep recurrent neural networks Yorko/python_intro 87 IPython notebooks in Russian. Introduction to Python, basic algorithms and data structures jazzsaxmafia/Weakly_detector 85 Tensorflow implementation of "Learning Deep Features for Discriminative Localization" hannorein/rebound 84 An open-source multi-purpose N-body code h2oai/h2o-tutorials 84 Tutorials and training material gtnx/pandas-highcharts 84 Beautiful charting of pandas.DataFrame with Highcharts frnsys/ai_notes 83 machine learning/artificial intelligence notes jeffalstott/powerlaw 82 FlorianMuellerklein/Machine-Learning 81 Machine learning library written in readable python code amygdala/tensorflow-workshop 81 This repo contains materials for use in a TensorFlow workshop. Elucidation/tensorflow_chessbot 80 Predict chessboard FEN layouts from images using TensorFlow leongatys/DeepTextures 79 Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376) davek44/Basset 79 Convolutional neural network analysis for predicting DNA sequence activity. ContinuumIO/numbapro-examples 79 Examples of NumbaPro in use. rippleblue/Python 77 Python 3 amueller/odscon-sf-2015 76 Material for ODSCON San Francisco 2015 metpy/MetPy 74 A Python Package for Meteorological Data breze-no-salt/breze 74 Breze with all the stuff. joequant/bitquant 74 Bitquant related scripts and configuration files ericmjl/Network-Analysis-Made-Simple 74 For PyCon, PyData, ODSC, and beyond! jterrace/pyssim 73 A Python module for computing the Structural Similarity Image Metric (SSIM) scikit-image/skimage-tutorials 72 Scikit-image tutorials entron/entity-embedding-rossmann 72 mikesj-public/dcgan-autoencoder 71 jmgilmer/GoCNN 71 using CNN to do move prediction and board evaluation for the board game Go vega/ipyvega 70 IPython/Jupyter notebook module for Vega, and Vega-Lite, Polestar, and Voyager dwiel/tensorflow_hmm 70 A tensorflow implementation of an HMM layer kylemcdonald/SmileCNN 70 Smile detection with a deep convolutional neural net, with Keras. marcharper/python-ternary 69 :small_red_triangle: Ternary plotting for python with matplotlib dmlc/mxnet-gtc-tutorial 69 MXNet Tutorial for NVidia GTC 2016. skaae/recurrent-spatial-transformer-code 69 Code for Recurrent Spatial Transformer Networks bollwyvl/nosebook 68 a nose plugin for finding and running IPython notebooks as nose tests evancchow/jazzml 68 A (very incomplete) project that combines machine learning with music. chezou/julia-100-exercises 68 julia version of 100 numpy exercises rhiever/python-data-visualization-course 68 Course materials for teaching data visualization in Python. iamaaditya/VQA_Demo 67 Visual Question Answering Demo on pretrained model justmarkham/DAT5 66 General Assembly's Data Science course in Washington, DC gpeyre/numerical-tours 66 Numerical Tours of Signal Processing demotu/BMC 66 Notes on Scientific Computing for Biomechanics and Motor Control unnati-xyz/intro-to-deep-learning-for-nlp 66 The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing. YeoLab/flotilla 65 Reproducible machine learning analysis of gene expression and alternative splicing data JuliaCon/presentations 64 Presentations for JuliaCon AKSHAYUBHAT/TensorFace 64 Face Recognition using TensorFlow konstantint/matplotlib-venn 64 Area-weighted venn-diagrams for Python/matplotlib propublica/compas-analysis 64 Data and analysis for 'Machine Bias' fredokun/cl-jupyter 63 hddm-devs/hddm 62 HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC). opencobra/cobrapy 62 COBRApy is a package for constraint-based modeling of biological networks rajshah4/tensorflow_shiny 62 A R/Shiny app for interactive RNN tensorflow models jakevdp/PythonicPerambulations 62 A port of jakevdp.github.com to the Pelican platform thedataincubator/ds30 61 Data Science in 30 Minutes savvastj/nbashots 61 NBA shot charts using matplotlib, seaborn, and bokeh. sigopt/sigopt-examples 61 Optimization Examples with SigOpt Calysto/octave_kernel 61 An Octave kernel for IPython tylin/coco-caption 60 hildensia/bayesian_changepoint_detection 59 Methods to get the probability of a changepoint in a time series. rhiever/sklearn-benchmarks 59 A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets. JamesLavin/my_tech_resources 58 List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful jacobeisenstein/gt-nlp-class 57 Course materials for Georgia Tech CS 4650 and 7650, "Natural Language" mattwaite/JOUR407-Data-Journalism 57 A collection of stuff for my Data Journalism class at the University of Nebraska-Lincoln. mcleonard/sampyl 57 MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice pprzetacznik/IElixir 57 Jupyter's kernel for Elixir programming language pierre-rouanet/dtw 56 DTW (Dynamic Time Warping) python module jupyter/docker-demo-images 56 Demo images for use in try.jupyter.org and tmpnb.org stitchfix/Algorithms-Notebooks 56 Algorithm's team Jupyter Notebooks GradySimon/tensorflow-glove 56 An implementation of GloVe in TensorFlow terryum/TensorFlow_Exercises 56 The codes I made while I practiced various TensorFlow examples zeroviscosity/d3-js-step-by-step 55 http://zeroviscosity.com/category/d3-js-step-by-step BuzzFeedNews/2014-06-bikeshare-gender-maps 54 Data and code for BuzzFeed's bikeshare gender maps. Calysto/matlab_kernel 54 Jupyter Kernel for Matlab blink1073/oct2py 54 Run M Files from Python - GNU Octave to Python bridge numb3r33/Kaggle-Competitions 54 All Kaggle competitions mfitzp/martinfitzpatrick.name 53 martinfitzpatrick.name glouppe/tutorials-scikit-learn 53 Scikit-Learn tutorials tfolkman/learningwithdata 52 Code for Learning with Data Blog thejakeyboy/umich-eecs545-lectures 52 This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor. AllenDowney/ThinkBayes2 52 Text and code for the second edition of Think Bayes, by Allen Downey. PythonWorkshop/intro-to-tensorflow 52 This is an introduction to tensorflow hal3/vwnlp 51 Solving NLP problems with Vowpal Wabbit: Tutorial and more cnel/itl-ae 51 Information Theoretic Learning Auto-encoders ictar/pythondocument 51 translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~ michaelfarrell76/End-To-End-Generative-Dialogue 51 A neural conversation model andrewgiessel/basketballcrawler 51 This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis ryotat/mlss15 50 fbrusch/fondamenti-2015 50 Materiale del corso di Fondamenti di Informatica 2015-2016