具身智能入门指南

Model-based design and verification for robotics.

My implementation of Graspnet Graspness.

Official implementation of CVPR2024 paper "Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge"

RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

🤖 The MoveIt motion planning framework

计算机自学指南

CLIPort: What and Where Pathways for Robotic Manipulation

Implementation of "PaLM-E: An Embodied Multimodal Language Model"

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

机器学习&深度学习网站资源汇总（Machine Learning Resources）

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

the CS missing semester Chinese version

PyTorch deep learning projects made easy.

Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"

A resource for learning about Machine learning & Deep Learning

Must-read papers on graph neural networks (GNN)

Python - 100天从新手到大师

All Algorithms implemented in Python

A library for graph deep learning research