GT-RIPL

Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

L2C

Learning to Cluster. A deep clustering strategy.

CODA-Prompt

PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

robo-vln

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Xmodal-Ctx

Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning

AlwaysBeDreaming-DFCIL

PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

FeatMatch

PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"

MultiAgentPerception

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

UNO-IC

DomainGeneralization-Stylization

PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization

Geometric-Sensitivity-Decomposition

DistillMatch-SSCL

PyTorch code for the IJCNN'21 paper: "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"

FTP

This repo hosts the code for the Fast Trainable Projection (FTP) project.

HAAV

Official PyTorch implementation of our CVPR-23 paper: HAAV

FedFOR

TO BE RELEASED PyTorch code for the preprint: "FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization"

AugCL

DMControl Generalization Benchmark