Sherrylife's Stars
frankmcsherry/blog
Some notes on things I find interesting and important.
probml/pml2-book
Probabilistic Machine Learning: Advanced Topics
jzplp/Computer-Network-A-Top-Down-Approach-Answer
计算机网络-自顶向下方法 习题/编程/实验答案
davidmrau/mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
ildoonet/pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
zhengqigao/PRML-Solution-Manual
My Own Solution Manual of PRML
HanochShi/Supplements-ComputerNetworking-ATopDownApproach-7th-ed
supplements material of Computer Networking: A Top-Down Approach, 7th ed. (By J.F. Kurose and K.W. Ross)
mit-han-lab/dlg
[NeurIPS 2019] Deep Leakage From Gradients
ethanluoyc/pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
lilianweng/multi-armed-bandit
Play with the solutions to the multi-armed-bandit problem.
Koukyosyumei/AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
wenzhu23333/Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
sungyubkim/MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
ZIYU-DEEP/Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
binnes/WiFiMeshRaspberryPi
Workshop to create a sensor application over a WiFi Mesh network
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
omarfoq/FedEM
Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
lyeoni/pytorch-mnist-VAE
blackfeather-wang/InfoPro-Pytorch
Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.
JedMills/MTFL-For-Personalised-DNNs
Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.
UbiquitousLearning/End2end-Federated-Learning
A demo of end-to-end federated learning system.
AIoT-MLSys-Lab/FedRolex
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang
AllenBeau/pFedBayes
Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
fedbiomed/fedbiomed
A collaborative learning framework for empowering biomedical research
HarukiYqM/All-In-One-Neural-Composition
PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)
AntoAndGar/Intrinsic-Dimension
Code implementing the paper "Measuring intrinsic dimension of objective landscapes" to perform some research
omarfoq/streaming-fl
Official code for "Federated Learning for Data Streams" (AISTATS'23)
dizcza/pytorch-mighty
The Mighty Monitor Trainer for your pytorch models.
ShoYamanishi/MLNotes
Some notes worth sharing that I made through my self-study on machine learning.
parklize/Academic-Learning-Resources
Resources related to PhD, Research, Reviewing, Writing, Career Development, etc.