cinneesol

Adversarial-Agent

Algorithms-Notebooks

Algorithm's team Jupyter Notebooks

awesomeo

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.

chainer

A flexible framework of neural networks for deep learning

connexion

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

dash

Interactive, reactive web apps in pure python :level_slider: :bar_chart:

data-science-blogs

A curated list of data science blogs

deep-learning-keras-tensorflow

# Deep Learning with Keras and Tensorflow

DeepLearningTutorials

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

DeepRL

DeepVideoAnalytics

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

easyxls

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

edward

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

GPy

Gaussian processes framework in python

keras

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

keras-1

R Interface to Keras

keras-rl

Deep Reinforcement Learning for Keras.

Lasagne

Lightweight library to build and train neural networks in Theano

lime

Lime: Explaining the predictions of any machine learning classifier

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

ML-From-Scratch

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

MLAlgorithms

Minimal and clean examples of machine learning algorithms

mxnet

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

prophet

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

pyro

Deep universal probabilistic programming with Python and PyTorch

python-scripts

because i'm tired of gists

shinyjs

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

shogun

The Shogun Machine Learning Toolbox (Source Code)

Skater

Python Library for Model Agnostic Interpretation

tensorflow-101

learn code with tensorflow