Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Organizes AI tools and resources so people can browse and compare relevant services.
Organizes AI tools and resources so people can browse and compare relevant services.
A curated list of pretrained CoreML models.
Organizes AI tools and resources so people can browse and compare relevant services.
Curated list of federated learning publications, re-organized from Arxiv (mostly).
A curated GitHub list of federated learning system papers, articles, tutorials, slides and projects. It groups entries such as systems from big tech companies, vertical FL, open-source frameworks, edge and mobile systems, optimization, security and privacy, applications and surveys. Papers reviewed and presented at academic conferences are marked with a graduation cap symbol.
A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
Helps find, analyze or synthesize information for research and knowledge discovery.
A GitHub collection of graph classification papers with reference implementations, covering embedding, deep learning, graph kernel and factorization methods. It also links to graph classification benchmark datasets and similar curated collections.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Organizes AI tools and resources so people can browse and compare relevant services.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
A curated list of AI tools for music composition, generation, and analysis.
Curated link list for practical natural language processing in Ruby.
A curated list of tools and resources for building production RAG systems.
For adding AI agents'-related SDKs, frameworks and tools, please visit. This list is only for AI assistants and agents.
A curated GitHub list of TensorFlow experiments, libraries and projects, with sections for tutorials, models, tools, videos, papers and books. It describes TensorFlow as an open source software library for numerical computation using data flow graphs.
Curated List of Workflow Automation Apps And Tools.
A curated list of R packages, frameworks and software, organized into sections such as integrated development environments, data manipulation and machine learning. The repository also links to learning resources including websites, books and MOOCs.