Justin Liu's repositories
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
anlearn
anlearn - Anomaly learn
AutoGPT
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.
awesome-compose
Awesome Docker Compose samples
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
CapyMOA
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.
Django-By-Example
Published by Packt
doubi
一个逗比写的各种逗比脚本~
emacs.d
An Emacs configuration bundle with batteries included
fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
incubator-eventmesh
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.
javacpp-presets
The missing Java distribution of native C++ libraries
kafka-ml
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow)
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
orac
🦫 MLOps for (online) machine learning
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyMLB
Machine Learning Benchmark framework for Python
PythonPark
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021