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《Web安全之机器学习入门》
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning"
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithms & Data structures in C++.
AlphaNet Improved Training of Supernet with Alpha-Divergence
PyTorch implementation of AnimeGANv2
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
append vscode or jupyter to docker images
AutoML for clustering models in sklearn.
Automated deep learning algorithms implemented in PyTorch.
An autoML framework & toolkit for machine learning on graphs.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A collection of research materials on explainable AI/ML
Federated Learning Library: https://fedml.ai
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
⚡️ 一款图形界面的百度网盘不限速下载器,支持 Windows、Linux 和 Mac。 https://hacpai.com/article/1563154719934
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
:link: Some useful websites for programmers.
bibtex to bibitem converter by Leen Remmelzwaal
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
吴恩达老师的机器学习课程个人笔记
[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
D2Go is a toolkit for efficient deep learning
DAGAN: Data Augmentation Generative Adversarial Networks
PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Torchreid: Deep learning person re-identification in PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.