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- tinyengine Public
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
mit-han-lab/tinyengine’s past year of commit activity - 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 - 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 - efficientvit Public
Efficient vision foundation models for high-resolution generation and perception.
mit-han-lab/efficientvit’s past year of commit activity - tinychat-tutorial Public
mit-han-lab/tinychat-tutorial’s past year of commit activity - distrifuser Public
[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
mit-han-lab/distrifuser’s past year of commit activity