yuchaoli

Alibaba

Pinned Repositories

AliceMind
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Language:Python0 1 00
BladeDISC
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
Language:C++0 0 00
caffe
Caffe: a fast open framework for deep learning.
Language:C++0 3 00
caffe-1
Caffe for Sparse and Low-rank Deep Neural Networks
Language:C++0 3 00
caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Language:Python0 2 00
CC
Towards Compact CNNs via Collaborative Compression
Language:Python11 2 71
KSE
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Language:Python47 4 721
Pomodoro
a html about Pomodoro
Language:CSS1 2 00
PST
Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
Language:Python13 2 12
README
README文件语法解读，即Github Flavored Markdown语法介绍
1 1 01

yuchaoli's Repositories

yuchaoli/KSE
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Language:Python47 4 721
yuchaoli/PST
Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
Language:Python13 2 12
yuchaoli/CC
Towards Compact CNNs via Collaborative Compression
Language:Python11 2 71
yuchaoli/README
README文件语法解读，即Github Flavored Markdown语法介绍
1 1 01
yuchaoli/AliceMind
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Language:Python0 1 00
yuchaoli/BladeDISC
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
Language:C++0 0 00
yuchaoli/caffe
Caffe: a fast open framework for deep learning.
Language:C++0 3 00
yuchaoli/caffe-1
Caffe for Sparse and Low-rank Deep Neural Networks
Language:C++0 3 00
yuchaoli/caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
Language:Python0 2 00
yuchaoli/CGES
Combined Group and Exclusive Sparsity for Deep Neural Networks
Language:Python2 0
yuchaoli/CondenseNet
CondenseNet: Light weighted CNN for mobile devices
Language:Python3 0
yuchaoli/deep-residual-networks
Deep Residual Learning for Image Recognition
3 0
yuchaoli/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
3 0
yuchaoli/fractalnet
Implementation of FractalNet with Global and Local drop using Caffe.
Language:C++3 0
yuchaoli/GAL
PyTorch implementation for GAL.
Language:Python2 0
yuchaoli/google_inception_v3_for_caffe
Google Inception (deepdream) v3 for Caffe
2 0
yuchaoli/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Language:Python1 0
yuchaoli/LRDKT
caffe model of LRDKT
Language:Python2 0
yuchaoli/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Language:C++0 0
yuchaoli/models
Models built with TensorFlow
Language:Python2 0
yuchaoli/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description in original paper.
Language:Python3 0
yuchaoli/SENet
Squeeze-and-Excitation Networks
Language:Cuda3 0
yuchaoli/ShuffleNet
This is a fast caffe implementation of ShuffleNet.
Language:C++3 0
yuchaoli/skipnet
Learning Dynamic Routing in Convolutional Networks
Language:Python3 0
yuchaoli/spider3
企业地址识别
Language:Python2 0
yuchaoli/SSR
structured sparsity regularization
Language:Python1 0
yuchaoli/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++2 0
yuchaoli/ThiNet
caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342
3 0
yuchaoli/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Language:Python1 0
yuchaoli/Uni-Fold
An open-source platform for developing protein models beyond AlphaFold.
Language:Python0 0