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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…
LLM4AD: A Platform for Algorithm Design with Large Language Model
[TMLR 2025 & ICLR 2025 DeLTa] Official Implementation of Design Editing for Offline Model-based Optimization 🧬 🤖
Official implementation of paper: SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update