# underlines/awesome-ml

Curated list of useful LLM / Analytics / Datascience resources

Repository: https://github.com/underlines/awesome-ml
Canonical: https://ross.abutalabs.com/products/awesome-ml
License: MIT
License Family: permissive
Last push: 2025-04-25T00:01:23+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 18, release rhythm 35, longevity 100
- inputs: {"age_days": 2240, "days_push": 496, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2719, forks 250 (observed 2026-08-28T04:07:12.242931+00:00)

## What it is
A curated awesome-list of machine learning resources covering LLMs, image, video, and audio models, plus analytics and data science. It organizes links to tools, GUIs, backends, datasets, research, and benchmarks across multiple markdown files.

## Use cases
- find open-source LLM tools and GUIs
- discover RAG and agent frameworks
- find speech recognition and text-to-speech models
- locate image and video generation models
- find LLM benchmarking and leaderboard resources
- find datasets and research papers for ML
- learn about fine-tuning and quantization tools

## When to choose
- you want a curated starting point for exploring the ML/LLM ecosystem
- you need to discover tools across multiple modalities (text, image, video, audio)
- you want community-maintained links to datasets, benchmarks, and research

## When to avoid
- you need working software rather than a list of links
- you need in-depth tutorials or documentation rather than curated pointers
- you need a specific tool with guaranteed maintenance

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, llm-inference, rag, speech-recognition, tts, stable-diffusion, video-processing, audio-processing, data-science, analytics
- domain: machine-learning, large-language-models, artificial-intelligence, deep-learning, data-science, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, llm-tools, image-generation, video-models, audio-models, fine-tuning, benchmarking

## Member repositories
- underlines/awesome-ml (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:12.242931+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:15:18.349629+00:00, confidence not recorded.
  - readme: https://github.com/underlines/awesome-ml (fetched 2026-08-28T04:07:12.242931+00:00, sha 1b543ea07a57)
- Data as of 2026-08-30T08:39:29.467469+00:00.