superjdz's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
taojy123/KeymouseGo
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
adap/flower
Flower: A Friendly Federated AI Framework
CSAILVision/gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
poloclub/ganlab
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
jsyoon0823/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
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. )
lx10077/fedavgpy
On the Convergence of FedAvg on Non-IID Data
litian96/ditto
Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
weitianxin/awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
NVlabs/FedFomo
BNN-UPC/RouteNet-Erlang
alphansahin/Wireless-Federated-Learning-with-Non-coherent-Over-the-Air-Computation
This respository consists of the source codes that allow one to realize over-the-air computation for federated edge learning by using Adalm Pluto SDRs.
Mereithhh/PomodoroClock-InkScreen-Web
原生JS版本，为墨水屏设备打造的番茄钟，开箱即用，具备记录并可视化展示历史学习时长、计划倒计时、设置时间长度、本地保存/读取等功能。
ForyoungYu/ClassicNet
经典深度学习网络复现
milleniums/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
lemonadeaumiel/Hybrid-IDS_CICIDS2018
The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and external network traffic data. Various measures, such as accuracy, detection rates, false alarm rates, F1 scores, and model execution time, are used to assess the model's feasibility, efficacy, and efficiency. With the model learning and optimization operations, a complete and resilient IDS with both known and unknown attack detection capabilities may be produced.
secret2base/AttendanceStatisticsAssistant
得力e+APP打卡时间统计助手，用于统计截止使用时刻，当周还需多少打卡时间
goldmyu/CTGAN
Using CTGAN implementation - a GAN-based tabular data synthesizer, on the cert Insider threat data-set (r4.1) for data augmentation.
hugobb/sgda
Code for "Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods"
elmahdichayti/LinSpeedUpCode
Our code for the ICML 2022 submission : Linear Speedup in Personalized Collaborative Learning
xjiajiahao/federated-minimax
BharatJain23/MG-GAN-RD
A novel federated architecture inspired from MD-GAN to handle Non-IID Data
Goshmar/FedML-GradControl
Research project about Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating based on the article