This is the official project repository for BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation, which has been accepted by ECCV…

BioNeMo Framework: For building and adapting AI models in drug discovery at scale

Contrastive Reinforcement Learning

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024

Learning Deep Representations of Data Distributions

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

A library for debugging/inspecting machine learning classifiers and explaining their predictions

This is the offical code of the paper "Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model"

Research language for array processing in the Haskell/ML family

Codebase and CLI for PLAPT: A state-of-the-art protein-ligand binding affinity model for drug discovery

Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [CVPR 2023]

[TOIS24] Denoising Heterogeneous Graph Pre-training Framework for Recommendation

Parameterized Explainer for Graph Neural Network

Explainability methods employed for the DeepFRI protein function algorithm

[NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"

Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction"

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning

Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

Insights into the inner workings of transformer models for protein function prediction

Every Hop Etched in Memory: Tokenized Graph Mamba Meets Directed Graph Learning (IJCNN 2025)

Retrieved Sequence Augmentation for Protein Representation Learning