Stars
This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
Automated tractography using MRTrix3 CSD based on subject-specific parcellations from FreeSurfer and MultiScaleBrainParcellator
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
Collection of awesome medical dataset resources.
An implementation of Steerable Conditional Diffusion Sampler
ML based Motion Tracking and Synthetic MR Motion Image Generator
An optical flow forward warp's lib with backpropagation using pytorch.
Parallelized triangle mesh --> continuous signed distance field on CPU
Converts an input mesh to a signed distance field (SDF)
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
[NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid
A Simple Point Cloud Registration Network based on PointNet.
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
This is an unofficial implementation of the Point Transformer paper.