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Flow RL is a high-performance RL library with flow and diffusion models.
(ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.
Codes for ManGO on offline MOO tasks via offline-moo benchmark
Open-source implementation of AlphaEvolve
Reading list for research topics in multimodal machine learning
Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
A living benchmark framework for symbolic regression
🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton
A deep learning framework for symbolic optimization.
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
Understanding R1-Zero-Like Training: A Critical Perspective
Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
A Library for Advanced Neural PDE Solvers.
python partial dependence plot toolbox
Official implementation of Transformer Neural Processes
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
Really Fast End-to-End Jax RL Implementations
A curated list for awesome discrete diffusion models resources.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…