Zikai's starred repositories
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
ColossalAI
Making large AI models cheaper, faster and more accessible
OpenPrompt
An Open-Source Framework for Prompt-Learning.
FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
GLUE-baselines
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
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. )
KalmanNet_TSP
code for KalmanNet
Stable-Pix2Seq
A full-fledged version of Pix2Seq
PyVertical
Privacy Preserving Vertical Federated Learning
Awesome-Backdoor-in-Deep-Learning
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
JevonsCameraViewer
An app for viewing multiple video streams from USB cameras. Low cost real time eye tracking. You can rotate and mirror the images and also use a variety of filters. Easily take screenshots. Very useful for c270 hacks. Exposure lock and some openCV examples included
NDSS21-Model-Poisoning
Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
CommEfficient
PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
FLDetector
The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"
Cluster_Federated_Learning
关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题
Connected-Unets-and-more
Basic UNet, AUNet, and ResNet architecture models and new variations: Connected-UNets, Connected-AUNets, and Connected-ResUNets architecture models