Image-to-Image Translation in PyTorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Unsupervised Learning for Image Registration

Pytorch framework for doing deep learning on point clouds.

Computations and statistics on manifolds with geometric structures.

OpenMMLab optical flow toolbox and benchmark

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

Medical image registration using deep learning

A Python Graph Matching Toolkit.

[ICLR 2024 Spotlight ✨] ResFields: Residual Neural Fields for Spatiotemporal Signals

Lightweight Pythonic wrapper around pythonocc

A single-GPU trainable unconditional mesh generative model

Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)

A dataset of 3D CAD models with machining feature labels.

Implementation of Deep evidential regression paper

A curated list of awesome ultrasound standard/diagnostic plane detection/localization/localisation/extraction/classification/selection/identification/recognition.

一个基于 LLM 的学术写作辅助工具

[ICLR2025] Nonrigid registration, Unsupervised optimization

Code for paper "GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation"

Mesh Denoising with Graph Convolutional Networks

PyTorch Implementation of the Spectral Stein Gradient Estimator

The source code for the paper High-precision Ellipse Fitting via Multi-scale Smoothing and Key-point Searching