Looking for something like Awesome Core ML Models? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 15 are open source.
Browse a list of machine learning models for Apple Core ML, collected in this repository.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Awesome Machine Learning | — | Not stated | — |
| 2 | Awesome TensorFlow | — | Yes | Android |
| 3 | Awesome Machine Learning with Ruby | — | Yes | — |
| 4 | Applied ML | — | Yes | — |
| 5 | PromptEngineering | — | Not stated | — |
| 6 | Add Skills | — | Yes | — |
| 7 | The Big Prompt Library | — | Yes | Linux |
| 8 | Awesome RAG Production | — | Yes | — |
| 9 | Awesome AI Market Maps | — | Yes | — |
| 10 | AlexChalakov/awesome-generative-ai-companies | — | Yes | — |
A curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository.
Awesome TensorFlow lists experiments, libraries, and projects related to TensorFlow.
This repository collects machine learning resources and tools for the Ruby programming language.
This repository collects company papers and technical blogs about machine learning in production.
This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
AAS Core discovers and organizes skills for agents, with validation and planning features.
This repository collects prompts, system prompts, and instructions for large language models.
Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
Awesome AI Market Maps collects market maps about AI from 2025 and 2026.
A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.
This collection links community detection research papers and their implementations.
Stackwise collects open-source AI applications and invites community contributions to its project.
Awesome AI Books curates books about artificial intelligence, machine learning, deep learning, and transformers.
Machine Learning Zoomcamp teaches machine learning engineering through a course and registration materials.
The Hermes Agent repository contains the AI agent project and links to its related documentation.
Run the llm command-line tool to access and work with large language models from a terminal.
Browse a curated list of artificial intelligence tools in this repository.
This repository curates academic papers and related resources about federated learning systems.
Anthropic maintains this curated directory of plugins for Claude Code users.
Agent Reach lets AI agents read and search services including Twitter, Reddit, YouTube, GitHub, and Bilibili through one command-line tool.
A collection of machine learning resources for readers exploring the field.
Awesome AI Models curates links to AI models and large language models.
Screenpipe records screen activity locally and provides context to AI agents.
LocalModelsLinks collects guides and references for running and tuning language models locally.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
