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Scalable Deep Reinforcement Learning applied on ride-hailing systems
Harness for running and evaluating AI agents against RL environments
SkyRL: A Post-Training Stack for LLMs
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Harness for running and evaluating AI agents against RL environments
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SkyRL: A Post-Training Stack for LLMs
A benchmark for evaluating LLMs on open-ended CS problems. Exploring the Next Frontier of Computer Science.
Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Sky-T1: Train your own O1 preview model within $450
SGLang is a fast serving framework for large language models and vision language models.
Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
Scalable Deep Reinforcement Learning applied on ride-hailing systems
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Efficient, Flexible and Portable Structured Generation
Emscripten: An LLVM-to-WebAssembly Compiler
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
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Mixture-of-Experts for Large Vision-Language Models
Universal cross-platform tokenizers binding to HF and sentencepiece
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Open deep learning compiler stack for cpu, gpu and specialized accelerators
Anticipatory Autoregressive Models with MLC LLM
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Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
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Multiclass Queuing Network scheduling policy optimization using PPO method with AMPM variance reduction
D-Bus configurable sensor scanning applications