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alibi-detect

Algorithms for outlier, adversarial and drift detection

auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

awesome2vec

A collection of awesome papers, code, blogs, articles and resources pertaining to (anything)2vec.

babi-tasks

Task generation for testing text understanding and reasoning

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

blockbrain

Neural networks on the Ethereum blockchain

capsnet.mxnet

MXNet implementation of CapsNet

clickbait

DS 310: Click-Bait Detection Machine Learning Project

cnn-text-classification

Keras implementation of 'Convolutional Neural Networks for Sentence Classification. EMNLP 2014. Y. Kim.

conceptnet5

Code for building ConceptNet from raw data.

cortado

High performance ML in pure Python

coval-unspecified-ml-blockchain

datathon_builder

Platform to create datathons like Kaggle

deconvfaces

Generating faces with deconvolution networks

deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

genetic_algorithm

Simple implementation of a genetic algorithm to solve a linear regression problem.

genetics

Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning

ico

Ethereum ICO smart contracts and tools for managing crowdsales

kaggle-consumer-credit-default

Kaggle Machine Learning Challenge to Predict Consumer Credit Default

kaggle-higgs-boson

Kaggle Higgs Boson Machine Learning Challenge

lstnet

mlfoundations

Coursera Training Files for ML Foundations

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pythondemo

Sample Python excerpts for instructional purposes.

scikit-learn-videos

IPython notebooks from the scikit-learn video series

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

sympy-pypyjs

A test project to see if SymPy can run on PyPy.js

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow