Awesome Research is a GitHub repository or organization with source code, releases, documentation, or project resources.
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GitHub awesome list collecting OSINT tools, datasets, training links, and research resources.
Awesome Detection Transformer is a GitHub-hosted public collection of research papers focused on transformer-based approaches for computer vision detection and segmentation. The repository organizes papers by research field, and invites community contributions of overlooked papers or resources via issues or pull requests. It also references related toolboxes for transformer-based object detection work.
Awesome Android Reverse Engineering is a GitHub repository or organization with source code, releases, documentation, or project resources.
Awesome Kotlin is a developer resource for coding, documentation, communities, security research, or software tools.
Awesome Malware Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
Awesome OSINT For Everything is an OSINT resource for online investigations, research links, search methods, and public data tools.
Awesome Web Animation is a developer resource for coding, documentation, communities, security research, or software tools.
awesome-seo-tools tracks rankings, SERP visibility, and keyword performance across search results.
Search tool for finding GitHub awesome lists, curated repositories, and developer collections.
Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
Awesome-Code-LLM is a curated list of code large language models for research, covering top code LLMs, evaluation toolkits, leaderboards and related papers. It also lists evaluation frameworks for autoregressive code generation models and a secure sandbox for judging generated code.
Awesome-Code-LLM is a curated list of language modeling research for code and other software engineering activities, plus related datasets. The GitHub repository is marked TMLR and links to an arXiv paper.
Awesome AutoDL is a curated list of automated deep learning resources and an in-depth analysis, subtitled that neural architecture search is not the end. It collects papers, libraries and benchmarks covering neural architecture search and hyper-parameter optimization.
Awesome AutoML Papers is a GitHub-hosted curated list focused on automated machine learning (AutoML). It aggregates academic papers, articles, tutorials, slide decks, and related projects in the AutoML field, serving as a centralized reference for users exploring automated machine learning research and developments.
A curated list of Blender add-ons, tools, tutorials and resources for 3D artists, hobbyists, developers and researchers. It focuses mostly on open source and free resources, organizing items into add-ons, simulation and physics, generators, modeling, animation, render engines, textures, game development and misc sections.
Awesome Core ML Models is a GitHub repository that hosts the largest collection of Core ML models for iOS 11 and newer versions. It allows users to contribute new models to the list via GitHub.
GitHub list of deblurring methods, image-restoration tools, and visual enhancement resources.
Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Awesome LLM Resources is a GitHub-hosted curated list of resources for applied AI engineering. The collection is marked as a work in progress and aggregates relevant materials for applied AI engineering work.
Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Curated list of specialized search engines for hackers, OSINT, security, and research work.