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A high-throughput and memory-efficient inference and serving engine for LLMs

SGLang is a fast serving framework for large language models and vision language models.

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Recent research papers about [Foundation Models for Combinatorial Optimization]

Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit

Large Language Models as Hyper-Heuristics for Combinatorial Optimization (CO)

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Official repository for GFACS

Multi-Agent Reinforcement Learning with JAX

TensorDict is a pytorch dedicated tensor container.

Fast and memory-efficient exact attention

Benchmarks for Model-Based Optimization