[ICML 2024] 3D-VLA: A 3D Vision-Language-Action Generative World Model

Democratization of RT-2 "RT-2: New model translates vision and language into action"

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo, and OpenVLA) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)

Official implementation for paper "EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning".

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

OpenVLA: An open-source vision-language-action model for robotic manipulation.

This repository provides the sample code designed to interpret human demonstration videos and convert them into high-level tasks for robots.

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

[ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

A curated list of awesome knowledge-driven autonomous driving (continually updated)

Flops counter for convolutional networks in pytorch framework

Count the MACs / FLOPs of your PyTorch model.

An open-world scenario domain generalization code base

[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation

[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

A repository and benchmark for online test-time adaptation.

A simple and effective method for detecting out-of-distribution images in neural networks.

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Memory-Economic Continual Test-Time Model Adaptation

Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World