A collection of research materials on explainable AI/ML
- interpretable-ai
- explainable-ai
- interpretability
- explanation-system
47,133 repositories indexed
121–144 of 287 · Most stars
A collection of research materials on explainable AI/ML
TranslatedFree interactive 3D science lessons for high school · 铜匠实验室 (Tongjiang Lab, "Coppersmith Laboratory") · https://lab.tongjiang.app
A curated list of awesome resources related to executable packing
Best-practices and coding conventions for the CoffeeScript programming language
The bidirectional mapping library for Python.
☝️One <div>. Many possibilities.
A Next.js and MongoDB web application, designed with simplicity for learning and real-world applicability in mind.
A curated list of Site Reliability and Production Engineering Tools
C++ implementation of a fast hash map and hash set using robin hood hashing
My curated list of audio DSP and plugin development resources (Github fork)
Complete working example of using Domain Driven Design (DDD), Hexagonal Architecture, CQRS, Event Sourcing (ES), Event Driven Architecture (EDA), Behaviour Driven Development (BDD) using TypeScript and NestJS. Like what you see? Don't forget to star! ⭐ ^^^
A repository of modern C++ patterns curated by the community.
Neural Network built in Apple Playground using Swift
📗 How to write cross-platform Node.js code
Redux bindings for client-side search
💰 Billing & Payments knowledge for cloud platforms
Periodic cyber security newsletters that capture the latest news, summaries of conference talks, research, best practices, tools, events, vulnerabilities, and analysis of trending threats and attacks
Linux Binary Exploitation
Don't reverse engineer it twice. 17,000+ open-source tools built by reverse engineering closed apps, APIs, devices, protocols, file formats, games and AI tools. Search site + agent skill + MCP server, refreshed nightly.
A complete, fully tested and documented data structure library written in pure JavaScript.
A collection of fascinating and bizarre Censys Search Queries
Descriptions of C++17 features, presented mostly in "Tony Tables" (hey, the name wasn't my idea)
Data structure and algorithm library for go, designed to provide functions similar to C++ STL
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.