grbagwe

FCIL

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

FedWeIT

This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

BadPrompt

Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"

carla-roach

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

CFeD

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

flow

Computational framework for reinforcement learning in traffic control

github-slideshow

A robot powered training repository :robot:

highway-env

A minimalist environment for decision-making in autonomous driving

l2p-pytorch

Pytorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

LearnProgramming

MARL_CAVs

Multi-agent Reinforcement Learning for Autonomous Vehicles

NIID-Bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

online-continual-learning

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

OpenPrompt

An Open-Source Framework for Prompt-Learning.

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

PyTorch-1.x-Reinforcement-Learning-Cookbook

PyTorch 1.x Reinforcement Learning Cookbook, published by Packt

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

RAMRL

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rllibsumoutils

Python3 library able to connect the RLLIB framework with the SUMO simulator.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

solutions_to_probability_statistics

sumo-rl

An interface for Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and RLlib.

tfjs-examples

Examples built with TensorFlow.js