gntoni

umap

Uniform Manifold Approximation and Projection

pytorch-a2c-ppo-acktr-gail

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

torch-batch-svd

A 100x faster SVD for PyTorch⚡️

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

PythonRobotics

Python sample codes for robotics algorithms.

gans-awesome-applications

Curated list of awesome GAN applications and demo

meshrender

A set of Python utilities for rendering 3D meshes with OpenGL

pc_object_completion_cnn

ROS node for shape completion. Referenced in IROS 2017 paper "Shape Completion Enabled Robotic Grasping"

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

nn_dynamics

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

prog_gans_pytorch_inference

PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-teacher

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

BayesianRecurrentNN

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

awesome-deep-learning-papers

The most cited deep learning papers

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DeepConvSep

Deep Convolutional Neural Networks for Musical Source Separation

chainer-DCGAN

Chainer implementation of Deep Convolutional Generative Adversarial Network

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

PyLaTeX

A Python library for creating LaTeX files