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mit-han-lab/omniserve
mit-han-lab/omniserve Public[MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention
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mit-han-lab/llm-awq
mit-han-lab/llm-awq Public[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
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mit-han-lab/torchsparse
mit-han-lab/torchsparse Public[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
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mit-han-lab/fastrl
mit-han-lab/fastrl Public[ASPLOS'26] Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter
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mit-han-lab/foreact
mit-han-lab/foreact Public[CVPR 2026 Highlight] ForeAct: Steering Your VLA with Efficient Visual Foresight Planning
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NVlabs/VILA
NVlabs/VILA PublicVILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
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