《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Network Analysis in Python

DUSt3R: Geometric 3D Vision Made Easy

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Pytorch framework for doing deep learning on point clouds.

Faster-RCNN in Tensorflow

A TensorFlow & Deep Learning online course I taught in 2016

A library for differentiable nonlinear optimization

PyTorch implementation of Pointnet2/Pointnet++

[ICLR'23 Spotlight & ECCV'24 & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

RL Extension Library for Robots, Based on IsaacLab.

gradslam is an open source differentiable dense SLAM library for PyTorch

Kernel Point Convolution implemented in PyTorch

[ICRA2023] Implementation of Visual Language Maps for Robot Navigation

[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

AnyLoc: Universal Visual Place Recognition (RA-L 2023)

📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]

[ICCV 2025] VistaDream: Sampling multiview consistent images for single-view scene reconstruction

A faster implementation of PointNet++ based on PyTorch.

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion (CVPR 2025)

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

OmniControl: Control Any Joint at Any Time for Human Motion Generation, ICLR 2024

Tight Learned Inertial Odometry

This is a PyTorch implementation of the ECCV2020 paper "DeepSFM: Structure From Motion Via Deep Bundle Adjustment".