Pinned Repositories
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
aima-exercises
Exercises for the book Artificial Intelligence: A Modern Approach
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
algorithms
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.
autoweka
Auto-WEKA
awesome-compose
Awesome Docker Compose samples
justinuliu.github.io
justinuliu's Repositories
justinuliu/justinuliu.github.io
justinuliu/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
justinuliu/algorithms
justinuliu/anlearn
anlearn - Anomaly learn
justinuliu/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.
justinuliu/awesome-compose
Awesome Docker Compose samples
justinuliu/awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
justinuliu/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.
justinuliu/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
justinuliu/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.
justinuliu/deeplearning
justinuliu/Django-By-Example
Published by Packt
justinuliu/dlsak
justinuliu/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
justinuliu/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.
justinuliu/IRHST
justinuliu/javacpp-presets
The missing Java distribution of native C++ libraries
justinuliu/kafka-ml
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow)
justinuliu/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
justinuliu/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
justinuliu/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
justinuliu/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
justinuliu/NDui
NDui for World of Warcraft
justinuliu/orac
🦫 MLOps for (online) machine learning
justinuliu/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 ;)
justinuliu/PyMLB
Machine Learning Benchmark framework for Python
justinuliu/PyScriptML
justinuliu/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。
justinuliu/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021
justinuliu/WAAL