A curated list of awesome responsible machine learning resources.
- fairness
- xai
- interpretability
- transparency
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A curated list of awesome responsible machine learning resources.
For writing maintainable and scalable HTML documents
OS kernel labs based on Rust/C Lang & RISC-V 64/X86-32
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
Curated list of resources about Apache Airflow
Practical Ethical Hacking Labs 🗡🛡
An step by step fuzzing tutorial. A GitHub Security Lab initiative
A collaborative list of great resources about RESTful API architecture, development, test, and performance
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Reasonable System for CSS Stylesheet Structure
Example code from Learning Spark book
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
Notes about courses Dive into Deep Learning by Mu Li
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)。
Aesthetic, minimalist platform for learning Japanese inspired by Duolingo and Monkeytype, built with Next.js and sponsored by Vercel. Beginner-friendly with plenty of good first issues - all contributions are welcome!
😎 🔗 Awesome list about all kinds of resources for learning Ethical Hacking and Penetration Testing.
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.
More than 130+ pages in this beautiful app and more than 45 developers has contributed to it.
Open source web application to learn JS stack: React, Material-UI, Next.js, Node.js, Express.js, Mongoose, MongoDB database.