TangHengxuan's Stars
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
James-Yu/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
akamaster/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
kourgeorge/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
amirgholami/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
songhan/Deep-Compression-AlexNet
Deep Compression on AlexNet
csyhhu/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
haoyuhu/cluster-analysis
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
liuhuanyong/TopicCluster
A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析等应用,如历时话题建模,评论画像等。
CV-xueba/A01_cvclass_basic
resources for CV
activatedgeek/LeNet-5
PyTorch implementation of LeNet-5 with live visualization
stuntgoat/kmeans
K Means Clustering with Python
msyim/VGG16
A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer
VITA-Group/Deep-K-Means-pytorch
[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
sands-lab/grace
GRACE - GRAdient ComprEssion for distributed deep learning
TropComplique/trained-ternary-quantization
Reducing the size of convolutional neural networks
czhu95/ternarynet
Implementation for Trained Ternary Network.
overshiki/kmeans_pytorch
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
ftramer/Handcrafted-DP
mc2-project/federated-xgboost
Federated gradient boosted decision tree learning
Raymw/Federated-XGBoost
Federated Learning on XGBoost
spencerkent/generalized-lloyd-quantization
An implementation of the Generalized Lloyd method for vector quantization
HikariX/MP-FedXGB
An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization
ninfueng/lloyd-max-quantizer
Python implementation of Lloyd-Max quantizer.
chongwar/vgg16-pytorch
vgg16 implemention by pytorch & transfer learning
zitengsun/hadamard_response
Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions
matthias-wright/cifar10-resnet
PyTorch implementation of a 9-layer ResNet for CIFAR-10.
vfdev-5/cifar10-faster
[WIP] Demonstration of training a small ResNet on CIFAR10 to 94% test accuracy in less 20 epochs