Efficient and Modular ML on Temporal Graphs

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

A curated collection of papers, repositories, and resources on Prior-data Fitted Networks (PFNs).

Code for the paper "Generative AI for fast and accurate statistical computation of fluids"

GFlowNet library specialized for graph & molecular data

Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

The official source code for "3D Interaction Geometric Pre-training for Molecular Relational Learning"

Code and Data for Tau-Bench

Code for TMLR paper: "Universal Link Predictor By In-Context Learning on Graphs"

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

AI agents running research on single-GPU nanochat training automatically

Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"

Hierarchical Reasoning Model Official Release

TorchFSM: Fourier Spectral Method with PyTorch

An easy (and fast) API for popular 3D molecular datasets!

Official code repository of < CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph >

[ICLR 2026] Official Code Implementation of Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models

Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling" (NeurIPS 2025).

[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model

Benchmark for generative models for materials