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numerai

numpy-deep-learning

A modular deep learning package written in numpy and cupy, for self-learning

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference

openai-call-for-research-2.0

Collection of problems solving for OpenAI Call-For-Research 2.0. In Pytorch.

paper-notes

DL/RL paper notes

parallel-trpo

A parallel version of Trust Region Policy Optimization

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pathint

Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

playground

PlayGround: AI Research into Multi-Agent Learning.

practical-pytorch

Practical PyTorch tutorials, focused on using RNNs for NLP

practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

project-currennt-scripts

This repository contains the scripts to use CURRENNT

pycolab

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

pydlt

PyTorch based Deep Learning Toolbox

pyoanda

Oanda’s API python wrapper. Robust and Fast API wrapper for your Forex bot Python library that wraps Oanda API. Built on top of requests, it’s easy to use and makes sense.

pyro

Deep universal probabilistic programming with Python and PyTorch

python-rl

Some Reinforcement Learning in Python

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-chatbot

Pytorch seq2seq chatbot

pytorch-examples

Simple examples to introduce PyTorch

pytorch-mdn

Mixture Density Networks for PyTorch

pytorch-nec

PyTorch Implementation of Neural Episodic Control (NEC)

pytorch-pretrained-bert

PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

pytorch-reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

pytorch-template

PyTorch template project