Algorithm's team Jupyter Notebooks

Deep universal probabilistic programming with Python and PyTorch

Lime: Explaining the predictions of any machine learning classifier

A curated list of data science blogs

R Interface to Keras

Interactive, reactive web apps in pure python 🎚️ 📊

A highly configurable visual search & analytics platform for images and videos.

Python Library for Model Agnostic Interpretation

Convert spreadsheet to python array/dict internal data structure based on row headings, column headings, or pivot table

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

Deep Reinforcement Learning for Keras.

learn code with tensorflow

The really big list of really interesting open source projects in all С, C++, Lisp, Elixir, Erlang, Golang, Haskell, JS, Lua, OCaml, Python, R, Ruby, Rust, Scala, Shell and Swift.

because i'm tired of gists

The Shogun Machine Learning Toolbox (Source Code)

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

Minimal and clean examples of machine learning algorithms

Gaussian processes framework in python

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

A flexible framework of neural networks for deep learning

Lightweight library to build and train neural networks in Theano

machine learning and deep learning tutorials, articles and other resources

Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation and OAuth2 support

Easily improve the user interaction and user experience in your Shiny apps in seconds

Deep Learning Tutorial notes and code. See the wiki for more info.

# Deep Learning with Keras and Tensorflow