MIT HAN Lab
Efficient AI Computing. PI: Song Han
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- torchquantum Public
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
mit-han-lab/torchquantum’s past year of commit activity - efficientvit Public
Efficient vision foundation models for high-resolution generation and perception.
mit-han-lab/efficientvit’s past year of commit activity - 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
mit-han-lab/omniserve’s past year of commit activity - torchsparse Public
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
mit-han-lab/torchsparse’s past year of commit activity
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