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Top repositories

1

SN-Net

[CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".
Python
223
star
2

LITv2

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"
Python
193
star
3

Mesa

This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
Python
117
star
4

SPViT

[TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.
Python
93
star
5

LIT

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"
Python
83
star
6

PTQD

The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
Jupyter Notebook
72
star
7

EcoFormer

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
Python
66
star
8

QTool

Collections of model quantization algorithms. Any issues, please contact Peng Chen ([email protected])
Python
64
star
9

FASeg

[CVPR 2023] This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".
Python
54
star
10

SPT

[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
Python
45
star
11

SAQ

This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".
Python
39
star
12

HVT

[ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"
Python
30
star
13

SN-Netv2

This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".
Python
19
star
14

MPVSS

Python
17
star
15

efficient-stable-diffusion

16
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16

QLLM

[ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models"
Python
10
star
17

Stitched_LLaMA

[CVPR 2024] A framework to fine-tune LLaMAs on instruction-following task and get many Stitched LLaMAs with customized number of parameters, e.g., Stitched LLaMA 8B, 9B, and 10B...
5
star
18

STPT

3
star