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mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

monodepth

Unsupervised single image depth prediction with CNNs

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

natural-language-object-retrieval

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

natural-language-object-retrieval-tensorflow

Implement Natural Language Object Retrieval in tensorflow

neural-storyteller

A recurrent neural network for generating little stories about images

nuscenes-devkit

The devkit of the nuScenes dataset.

openselfsup

Self-Supervised Learning Toolbox and Benchmark

papernotes

Paper note for CV, NLP, RL, etc.

program-synthesis-rl-tensorflow

in progress

py-faster-rcnn-imagenet

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

python-image-filter

Python script that generates the photoshop curve and applies it to an image.

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-a3c-mujoco

Implement A3C for Mujoco gym envs

pytorch-i-revnet

i-RevNet Pytorch Code

pytorch-naf

Reimplementation of Continuous Deep Q-Learning with Model-based Acceleration (Normalized Advantage Function).

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reddit.captcha

reinforcement-learning

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

rllab

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

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

robustrl

Robust policy search algorithms which train on model ensembles

self-parking-system

Implement self-parking system on website. All code are written in Javascript.(midterm project in embedded system lab)

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

simclr-converter

A PyTorch converter for SimCLR checkpoints

stable-continual-learning

Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882