Justin Liu's repositories
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.
PyMLB
Machine Learning Benchmark framework for Python
fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
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.
Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
anlearn
anlearn - Anomaly learn
orac
🦫 MLOps for (online) machine learning
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
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.
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
Django-By-Example
Published by Packt
awesome-compose
Awesome Docker Compose samples
kafka-ml
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow)
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021
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。
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 ;)
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
javacpp-presets
The missing Java distribution of native C++ libraries
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.
NDui
NDui for World of Warcraft
doubi
一个逗比写的各种逗比脚本~
emacs.d
An Emacs configuration bundle with batteries included