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University of Oxford
- https://jianqingzheng.github.io/
- https://orcid.org/0000-0002-1823-1419
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Models and examples built with TensorFlow
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Official repository for "AM-RADIO: Reduce All Domains Into One"
Making Protein Design accessible to all via Google Colab!
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
A scanpy extension to analyse single-cell TCR and BCR data.
[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation
MICCAI 2024 & CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module
[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration
[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant