Stars
Starter template to build multi agent systems
gvsi / LibraryMapping
Forked from UoEMainLibrary/LibraryMappingLibrary Mapping Project
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deep Reinforcement Learning with pytorch & visdom
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
Modularized Implementation of Deep RL Algorithms in PyTorch
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Setup and customize deep learning environment in seconds.
Simple PyTorch Tutorials Zero to ALL!
Tool for visualizing GitHub profiles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Two time-scale update rule for training GANs
AdaGAN: greedy iterative procedure to train mixtures of GANs
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Collection of generative models in Pytorch version.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Recipes for using Python's pandas library
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Code for the paper "Generative Adversarial Imitation Learning"
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
Neural Style Transfer For Chinese Characters
TensorFlow implementation of Deep Reinforcement Learning papers
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Awesome paper list with code about generative adversarial nets
📃 A list of practical projects that anyone can solve in any programming language.