MIT HAN Lab
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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 - hardware-aware-transformers Public
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
mit-han-lab/hardware-aware-transformers’s past year of commit activity - smoothquant Public
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
mit-han-lab/smoothquant’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 - temporal-shift-module Public
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
mit-han-lab/temporal-shift-module’s past year of commit activity
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