Lists (17)
Stars
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 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
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
Repository for "FreDF: Learning to Forecast in the Transformed Domain"
[NeurIPS 2025] Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"
WeDLM: The fastest diffusion language model with standard causal attention and native KV cache compatibility, delivering real speedups over vLLM-optimized baselines.