weiwuluxin's Stars
mazhengcn/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
fredhohman/awesome-mathematical-notation-design
List of links of techniques to help enhance mathematical notation
HaohanWang/HFC
Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Roll920/AutoPruner
PyTorch Implementation of AutoPruner
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
jiqizhixin/Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
hyang1990/energy_constrained_compression
Code for paper "ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model"
Jack000/Color-Graph
client-side color graph library
JiahuiYu/slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
facebookresearch/open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
PotatoThanh/ADMM-NeuralNetworks
Training Neural Networks Without Gradients: A ADMM Approach
xianggebenben/dlADMM
dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
tdinh15/rvsm-rgsm-admm
Sunasity/sparse-bottleneck
pytorch implementation of sparse DNN models
loadbxh/min_FaceDecet
jyurtsever/DiffuserCam-ML
Machine Learning techniques applied to enhance DiffuserCam image quality using PyTorch
bwtseng/Model-Compression
This repository is the revised version of Intel Distiller, which aims at applying powerful model compression mechanism to our local model in more flexible way.
JiahaoYan98/Pruning-ADMM
leiguan2018/admm_for_dnn
yyyyyyilan/waypoints_planning_admm
C3D based waypoints planning with ADMM weight pruning
ivanzzh/admm_uav_regression
ChanChiChoi/awesome-model-compression
papers about model compression
Eric-mingjie/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
UCMerced-ML/LC-model-compression
Model compression by constrained optimization, using the Learning-Compression (LC) algorithm
666DZY666/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
he-y/Awesome-Pruning
A curated list of neural network pruning resources.
glqglq/prml_note
机器学习与模式识别相关笔记
kaiqzhan/admm-pruning
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html