justinuliu Goto Github PK
Name: Justin Liu
Type: User
Company: The University of Waikato
Location: New Zealand
Name: Justin Liu
Type: User
Company: The University of Waikato
Location: New Zealand
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
Exercises for the book Artificial Intelligence: A Modern Approach
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
anlearn - Anomaly learn
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Auto-WEKA
Awesome Docker Compose samples
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Published by Packt
《Django By Example》个人翻译
一个逗比写的各种逗比脚本~
A PyTorch implementation of EfficientNet
An Emacs configuration bundle with batteries included
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Cross-platform internet download manager for HTTP(S), FTP(S), magnet-link, BitTorrent, ed2k, and online videos
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
EventMesh is a dynamic event-driven application runtime used to decouple the application and backend middleware layer, which supports a wide range of use cases that encompass complex multi-cloud, widely distributed topologies using diverse technology stacks.
The missing Java distribution of native C++ libraries
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow)
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
A resource for learning about Machine learning & Deep Learning
Be great at emacs in one year
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.