Awesome ML

This repository collects machine learning resources, including language models, tools, interfaces, and retrieval systems.

github.com/underlines/awesome-ml
Awesome ML homepage screenshot

About Awesome ML

Awesome ML is a repository that collects links to machine learning resources focused on LLM, analytics and datascience topics. It organizes entries into sections such as tools, native and web interfaces, backends, retrieval systems, datasets, benchmarking, and image, video and audio models.

Content is split across topic files including llm-tools, image-generation, video-ai, audio-ai and marketing-data-science, and contributions are accepted through pull requests.

Key features

  • Lists of open LLM models and related tools
  • Native GUIs, web GUIs and backends for models
  • Retrieval Augmented Generation and agent resources
  • Code generation and prompt templating references
  • Image, video and audio model sections including music generation
  • Fine tuning, training, merging and quantization material
Best for: People seeking organized links to LLM, analytics, and data science resources.
Good for
  • Open source repository under MIT license
  • Accepts contributions through pull requests
  • Separate files for audio, image, video and marketing data science topics

Awesome ML at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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