Stars
A markup-based typesetting system that is powerful and easy to learn.
Benchmarking framework for graph generative models (ICLR 2026)
Official code for "Flatten Graphs as Sequences: Transformers are scalable graph generators" (NeurIPS 2025)
Diffusion-based all-atom protein generative model.
[ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Public Release of ProGen3 family of Models
[AISTATS 2025] Learning Laplacian Positional Encodings for Heterophilous Graphs
Official implementation of the ANFM graph generative model (TMLR, 2026)
Main repository for "Detecting antimicrobial resistance through MALDI-TOF mass spectrometry with statistical guarantees using conformal prediction".
A comprehensive benchmark on the performances of multiple protein backbone generative models.
AlphaFold 3 inference pipeline.
PyTorch Implementation of ECCV 2024 OOD-CV Workshop SSB Challenge (Open-Set Recognition Track) - 1st Place
(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”
A foundation model for knowledge graph reasoning
(ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"
Official Pytorch implementation of NeuralWalker (ICLR 2025)
Modin: Scale your Pandas workflows by changing a single line of code
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
SCOTT: Synthesizing Curvature Operations and Topological Tools
“SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge
Implementation for SE(3) diffusion model with application to protein backbone generation
All Algorithms implemented in Python
Python 3.8+ toolbox for submitting jobs to Slurm
ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议