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Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
Open Source Landscapes and Insights Produced by AntOSS
verl: Volcano Engine Reinforcement Learning for LLMs
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport (ICML 2025)
An interface library for RL post training with environments.
This is the read counts obtained from RNAseq data, which is deposited in the European Nucleotide Archive (ENA) (Leinonen et al., 2011), under accession number PRJEB23709. The work is published in C…
The implemetation of the EMNLP 2022 paper "MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks."
GenoTEX: An expert-curated benchmark for evaluating LLM agents on real-world gene expression analysis tasks. (MLCB 2025 Oral)
Official repository for the paper "Topological Neural Discrete Representation Learning à la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
🤗 smolagents: a barebones library for agents that think in code.
Renderer for the harmony response format to be used with gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Democratizing AI scientists with ToolUniverse
A benchmark designed to assess AI scientists' ability to generate biological discoveries through data analysis and reasoning with external knowledge.
The code for "Learning Molecular Representation in a Cell"
A curated list of LLM powered AI Agents in Biomedical Research. Medical Image Analysis, Multi-omics Genomics Analysis, Biomedical Scientific Discoveries...
Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
A powerful and flexible machine learning platform for drug discovery
Arc Virtual Cell Atlas