Projects sharing features with Awesome Rl

A curated list of data mining papers about fraud detection.

A curated list of Monte Carlo tree search papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.

A collection of important graph embedding, classification and representation learning papers with implementations.

A curated list of community detection research papers with implementations.

This project is a comprehensive repository and curated index of resources, research papers, and development frameworks designed to support the construction and deployment of intelligent systems. It serves as a centralized knowledge base for developers seeking to navigate the technical landscape of artificial intelligence, ranging from foundational educational materials to specialized implementation guides. The repository distinguishes itself by providing structured directories for comparing generative artificial intelligence providers, including aggregated performance metrics, pricing data, a

A curated list of gradient boosting research papers with implementations.

This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks, and educational materials. It functions as an open-source knowledge base, organizing diverse engineering domains and technical resources into a structured taxonomy to assist developers in discovering high-quality content. The directory distinguishes itself through a decentralized peer-review model, where independent contributors curate, verify, and update entries to ensure accuracy and relevance. All information is stored in a version-controlled, flat-file markdown format, whic

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

Awesome Online Machine Learning

A complete daily plan for studying to become a machine learning engineer.

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

Awesome-Pytorch-list

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

The Robot Operating System Version 2.0 is awesome!

A curated list of awesome R packages, frameworks and software.

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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

The definitive list of lists (of lists) curated on GitHub and elsewhere

The most cited deep learning papers

Awesome online talks and screencasts

This project is a curated knowledge repository that aggregates high-quality resources, technical documentation, and expert insights focused on distributed systems engineering. It serves as a community-driven learning resource designed to help developers navigate the complexities of building and maintaining large-scale software applications. The repository distinguishes itself through a hierarchical taxonomy that organizes vast amounts of technical information into a structured, searchable format. By utilizing markdown-based content curation and static indexing, the collection remains version-

A curated list of all the awesome lists of awesome frameworks, libraries and software

A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.