AxeldeRomblay

MLBox

MLBox is a powerful Automated Machine Learning python library.

DHS2019

Video encoding & classification using tensorflow 2.0

auto_ml

Automated machine learning for analytics & production

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

auto-sklearn

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

swift

Swift for TensorFlow Project Home Page

tpot

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

bert

TensorFlow code and pre-trained models for BERT

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cookiecutter

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

dirty_cat

Encoding methods for dirty categorical variables

docker-python

Kaggle Python docker image

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

HpBandSter

a distributed Hyperband implementation on Steroids

interpret

Fit interpretable models. Explain blackbox machine learning.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

pytext

A natural language modeling framework based on PyTorch

scikit-learn

scikit-learn: machine learning in Python

SMAC3

Sequential Model-based Algorithm Configuration

spotlight

Deep recommender models using PyTorch.

template

A template Sphinx repo

tensorflow

Computation using data flow graphs for scalable machine learning

xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.