MIT HAN Lab (@mit-han-lab)
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Top repositories

1

streaming-llm

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Python
6,323
star
2

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Python
2,153
star
3

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Python
2,040
star
4

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Python
1,848
star
5

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Python
1,687
star
6

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
C++
1,415
star
7

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Python
1,272
star
8

torchquantum

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.
Jupyter Notebook
1,270
star
9

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.
Python
1,218
star
10

torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Cuda
1,139
star
11

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Python
1,102
star
12

smoothquant

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Python
1,085
star
13

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Python
778
star
14

tinyml

Python
732
star
15

tinyengine

[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
C
717
star
16

TinyChatEngine

TinyChatEngine: On-Device LLM Inference Library
C++
668
star
17

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
Python
630
star
18

fastcomposer

FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Python
617
star
19

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention
Python
589
star
20

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Python
577
star
21

distrifuser

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Python
538
star
22

mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Python
423
star
23

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Python
422
star
24

tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]
Python
414
star
25

dlg

[NeurIPS 2019] Deep Leakage From Gradients
Python
375
star
26

haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Python
362
star
27

offsite-tuning

Offsite-Tuning: Transfer Learning without Full Model
Python
362
star
28

hardware-aware-transformers

[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Python
321
star
29

litepose

[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Python
301
star
30

inter-operator-scheduler

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
C++
189
star
31

amc-models

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Python
165
star
32

apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Python
156
star
33

parallel-computing-tutorial

C++
123
star
34

flatformer

[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
Python
119
star
35

patch_conv

Patch convolution to avoid large GPU memory usage of Conv2D
Python
72
star
36

6s965-fall2022

Jupyter Notebook
64
star
37

sparsevit

[CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
Python
48
star
38

bnn-icestick

Binary Neural Network on IceStick FPGA.
Jupyter Notebook
47
star
39

e3d

Efficient 3D Deep Learning
46
star
40

neurips-micronet

[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
Jupyter Notebook
40
star
41

spatten-llm

[HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
Scala
32
star
42

tinychat-tutorial

C++
28
star
43

pruning-sparsity-publications

14
star
44

iccad-tinyml-open

[ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers
C
14
star
45

calo-cluster

Jupyter Notebook
5
star
46

ml-blood-pressure

Python
5
star
47

gan-compression-dynamic

Python
3
star
48

data-efficient-gans-dynamic

Python
2
star