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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

datasharing

The Leek group guide to data sharing

deepdive

DeepDive

deeppy

Advanced python implementations

ds-ml-scala

ML go to repo Scala

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

geqe

Geo Event Quey by Example - Leverage geo-located temporal text data in order to identify similar locations or events.

github-for-developers-7

graphpipe

Dead Simple ML Model Serving via a Standard Protocol

horovod

Distributed training framework for TensorFlow.

hyperopt

kagglepydicom

katacoda-scenarios

Katacoda Scenarios

materialdesignandroid

mlcode

ML go to repo python

models

Models built with TensorFlow

multi-lang-news-data

neurocuts

NeuroCuts is a deep RL algorithm for generating optimized packet classification trees.

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

ppl

programming paradigm of probabilistic programming

ray

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

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

tfx-nlp-qa

End-to-End DL Models Deployment using TFX for NLP - Question and Answering Systems with Explanation or Reasoning

tutorial