lzd19981105

lzd19981105's Stars

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Jupyter Notebook7.2k459

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.7k10.2k

• baofff/U-ViT

  A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

  Language:Jupyter Notebook93362

• VITA-Group/SFW-Once-for-All-Pruning

  [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang

  Language:Python291

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.5k3.1k

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

  Language:Python10.1k1k

• RAIVNLab/STR

  Soft Threshold Weight Reparameterization for Learnable Sparsity

  Language:Python8811

• he-y/soft-filter-pruning

  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

  Language:Python37774

• ZhuangzhuangWu/SkyNet

  iSmart3 https://github.com/TomG008/SkyNet

  24

• TomG008/SkyNet

  Language:Python23597

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python7k706

• nndeploy/nndeploy

  nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。

  Language:C++654101

• NVlabs/SMCP

  Language:Python202

• IST-DASLab/ACDC

  Code for reproducing "AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks" (NeurIPS 2021)

  Language:Python204

• TanayNarshana/DFPC-Pruning

  [ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.

  Language:Python102

• diaoenmao/Pruning-Deep-Neural-Networks-from-a-Sparsity-Perspective

  [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective

  Language:Python242

• he-y/Awesome-Pruning

  A curated list of neural network pruning resources.

  2.4k328

• lmbxmu/HRank

  Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

  Language:Python25249

• imcyx/EverydayWechat

  微信助手：1.每日定时给好友（女友）发送定制消息。2.机器人自动回复好友。3.群助手功能（例如：查询垃圾分类、天气、日历、电影实时票房、快递物流、PM2.5等）

  1

• xidongwu/AutoTrainOnce

  Language:Python101

• airockchip/rknn-toolkit2

  Language:C1.1k112

• IST-DASLab/spdy

  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"

  Language:Python184

• Yanqi-Chen/LATS

  To appear in the 11th International Conference on Learning Representations (ICLR 2023).

  Language:Python164

• wimh966/QDrop

  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

  Language:Python11416

• hustvl/PD-Quant

  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric

  Language:Python525

• AMLab-Amsterdam/L0_regularization

  Learning Sparse Neural Networks through L0 regularization

  Language:Python23947

• papers-submission/CalibTIP

  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

  Language:Python326

• Qualcomm-AI-research/pruning-vs-quantization

  Language:Python194

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.6k2.2k

• mit-han-lab/smoothquant

  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

  Language:Python1.3k150