shenyucong's Stars
FlyEgle/MAE-pytorch
Masked Autoencoders Are Scalable Vision Learners
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
shenyucong/paper-reading
深度学习经典、新论文逐段精读
formulahendry/955.WLB
955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)
mzalaya/screenkhorn
Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"
VITA-Group/GAN-Slimming
[ECCV 2020] "All-in-One GAN Compression by Unified Optimization" by Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, and Zhangyang Wang
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
deepsuncode/LSTM-flare-prediction
DeepSun open source software: LSTM-flare-prediction
kaushalshetty/SMOTE
Synthetic Minority Over-sampling Technique
felix-last/kmeans_smote
Oversampling for imbalanced learning based on k-means and SMOTE
akazs/pySMOTE
Python implementation of SMOTE: Synthetic Minority Over-sampling Technique
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
RapidsAtHKUST/CommunityDetectionCodes
Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)
ahertel/Amazon-Fresh-Whole-Foods-delivery-slot-finder
A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services
BraneShop/showreel
Source material for the Braneshop Showreel
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
sangultekin/mba
Code for the paper: Mini-Batch AUC Optimization
he-y/Awesome-Pruning
A curated list of neural network pruning resources.
trueprice/python-graph-clustering
A collection of Python scripts that implement various graph clustering algorithms, specifically for identifying protein complexes from protein-protein interaction networks.
JasonTLWang/LSTM-flare-prediction
LSTM-flare-prediction
barebell/DA
Unsupervised Domain Adaptation Papers and Code
google-research/google-research
Google Research
xiaoboxia/Classification-with-noisy-labels-by-importance-reweighting
TPAMI: Classification with noisy labels by importance reweighting.
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
TheAlgorithms/Python
All Algorithms implemented in Python
Project-Splinter/Dataloader.async
An asynchronous pytorch Dataloader for general neural network pipeline accelaration.
skolouri/swgmm
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
yehuitang/Pruning
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).