SGLang is a high-performance serving framework for large language models and multimodal models.
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DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
- agentneo
- agents
- ai-performance-optimization
- llm-testing
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A collection of libraries to optimise AI model performances
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
- accelerator
- ai-infra
- ai-infrastructure
- book
🔥 The first-ever interactive streaming video generation benchmark.
- avatar-performance
- interaction-streaming-video
- real-time-video-editing
- streaming-video-generation
Autonomous multi-agent framework to optimize scientific software
- acceleration
- agentic-ai
- ai-agents
- bioinformatics