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3d-diffusion-policy

[arXiv 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

3dsmoothnet

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

act

act-plus-plus

Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN

act3d-chained-diffuser

A unified architecture for multimodal multi-task robotic policy learning.

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

af-graph

Source code for the paper "Affinity Fusion Graph-based Framework for Natural Image Segmentation".

amp-ls

Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space (ICRA 2023)

arm

Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

autogl

An autoML framework & toolkit for machine learning on graphs.

awe

Waypoint-Based Imitation Learning for Robotic Manipulation

awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-auto-graph-learning

A paper collection about automated graph learning

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-equivariant-network

Paper list for equivariant neural network

awesome-generalizable-6d-object-pose

Recent papers about generalizable 6DoF object pose estimation.

awesome-llm-robotics

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

awesome-multiple-object-tracking

Resources for Multiple Object Tracking (MOT)

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-vqvae

📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

beso

[RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"

blenderproc

A procedural Blender pipeline for photorealistic training image generation

book

bridge-torch

Pytorch BC/RL Implementations for BridgeData V2