30 open-source projects similar to javierluraschi/awesome-dataviz, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
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
A curated list of community detection research papers with implementations.
A curated list of data mining papers about fraud detection.
A list of awesome and proven Artificial Intelligence use cases and applications
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of Monte Carlo tree search papers with implementations.
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 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
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
A collection of research papers and software related to explainability in graph machine learning.
A list of popular deep learning models related to classification, segmentation and detection problems
A complete daily plan for studying to become a machine learning engineer.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of gradient boosting research papers with implementations.
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
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
A curated list of awesome R packages, frameworks and software.
This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and
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
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.
📖 A curated list of Awesome Userscripts.
A curated list of awesome JSON libraries and resources.
continuous integration and continuous delivery
:tropical_drink: A curated list of awesome gulp resources, plugins, and boilerplates for a better development workflow automation - http://alferov.github.io/awesome-gulp