Studio: Simplify and expedite model building process

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow

Search on Google, and crawls for emails related to the result

Recent Deep Learning papers in NLU and RL

Airflow Unit Tests and Integration Tests

Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.

A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

Some Reinforcement Learning in Python

RL library based on algorithms from the book <A-introduction-to-reinforcement-learning>

OpenAI Gym Wrapper for DeepMind Control Suite

Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.

implementation of neat like genetic algorithm for finding network topologies in tensorflow

Distributed implementation of popular evolutionary methods

reinfore learning tool box, contains trpo, a3c algorithm for continous action space

Image Classification based on Transfer Learning of Deep Learning Convolutional Neural Networks

A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

up to date simple useragent faker with real world database