30 open-source projects similar to astrazeneca/awesome-explainable-graph-reasoning, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Awesome Explainable Graph Reasoning alternative.
A list of popular deep learning models related to classification, segmentation and detection problems
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
A collection of research papers on decision, classification and regression trees with implementations.
A list of awesome and proven Artificial Intelligence use cases and applications
A curated list of Monte Carlo tree search papers with implementations.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
A curated list of data mining papers about fraud detection.
This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr
The definitive list of lists (of lists) curated on GitHub and elsewhere
This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
A collection of important graph embedding, classification and representation learning papers with implementations.
:chartwithupwards_trend: A curated list of awesome data visualization libraries and resources.
A curated list of gradient boosting research papers with implementations.
A complete daily plan for studying to become a machine learning engineer.
A curated list of awesome R packages, frameworks and software.
This project is a community-driven directory that aggregates and categorizes high-quality technical resources, tools, and learning materials. It functions as a centralized knowledge management repository, designed to help developers navigate the software development landscape by providing structured access to curated lists and external project references. The directory relies on a collaborative, peer-reviewed workflow where external contributors submit and maintain links through a version-controlled system. This community-maintained approach ensures that the information remains current and re
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
A curated list of community detection research papers with implementations.
This project is a comprehensive, community-curated directory that organizes a vast landscape of Python software libraries, frameworks, and tools. It serves as a centralized knowledge base designed to facilitate ecosystem navigation and accelerate developer discovery across the entire software development lifecycle. The directory distinguishes itself by providing a structured index of resources categorized by technical domain, ranging from foundational development utilities to specialized engineering fields. It covers high-level capabilities including artificial intelligence, data science, web
This project is a curated repository of technical interview questions and a directory of study resources designed for professional software engineering assessments. It serves as a reference guide for interview patterns and common domain questions across various programming languages and technology stacks. The collection organizes coding and computer science questions by language and framework to assist with technical interview preparation and coding assessment study. It covers a wide range of programming domains and system design patterns to support software engineering career growth.
continuous integration and continuous delivery
This project is a curated directory of analytics frameworks and software designed to help users discover tools for measuring user behavior, SEO performance, and mobile application metrics. It serves as a comprehensive resource list organized by specific use cases and tracking requirements. The directory includes a categorized index focused on privacy-preserving analytics software that prioritizes data protection. It covers a wide range of domains, including product analytics for tracking user journeys, SEO performance monitoring for organic search visibility, and general web and mobile tracki
This project is a comprehensive, community-driven repository that serves as a centralized catalog for computer vision research and development. It functions as a structured index of academic papers, open-source software libraries, public datasets, and educational tutorials, providing a navigation point for the complex landscape of modern vision technology. The repository distinguishes itself through a taxonomy-based indexing system that maps the relationships between foundational research, influential academic figures, and their corresponding software implementations. By utilizing a lightweig
A collection of resources for learning type theory and type theory adjacent fields.
The Robot Operating System Version 2.0 is awesome!
🚗 A curated list of resources for learning about vehicle security and car hacking.
A curated list of awesome loosely performance related JVM stuff. Inspired by awesome-python.
A curated list of awesome quantum computing learning and developing resources.