LAION AI
@laion-ai • This is the repo of LAION, a non-profit organization to liberate machine learning research, models and datasets.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
33%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
28 repos
Visible snapshot
28 repositories updated in the last 90 days.
Leading language
Unknown
Portfolio mix
Unknown (13), Python (8), HTML (5)
Average size
0
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-10-09(1d ago)GitHub API fallback28 repositories
33%
of the visible star count comes from this organization's top three repositories.
0
stars per repository in this same snapshot.
Unknown
is the most common language here, with 28 repositories updated in the last 90 days.
Why this rank
This organization stands out because its visibility is spread across a broad portfolio of 28 repositories.
Broad portfolio across 28 reposTop 3 share 33%
Organization pages work best when you separate portfolio breadth from flagship concentration. In LAION AI's case, the visible top three repositories account for about 33% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Unknown (13), Python (8), HTML (5). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | laion-ai/acting-edge-cases 266 voice-acting edge cases: coaching notes, acoustic signatures and detector tokens for expressive-speech generation and annotation | 2 | |
| 2 | laion-ai/humaneness-ears-preview Public feedback preview: Humaneness Ears article, paper and Overleaf sources | Python | 1 |
| 3 | laion-ai/open-sims Procedural Living World research prototype with Python simulation and pixel-art browser UI | Python | 1 |
| 4 | laion-ai/Humaneness-Voice Open voice-acting agent: director, expressive speech model, LoRA tools, perceptual selection, and reproducible demo. | Python | 1 |
| 5 | laion-ai/open_clip_video_autoexp | Python | 1 |
| 6 | laion-ai/moss-voice-profiles-converted MOSS voice-profile matrix, all clips converted to one target voice (emolia_c1675) via Chatterbox VC | 1 | |
| 7 | laion-ai/moss-voice-clustering-analysis How many voice clusters are really there? Cluster-structure analysis of the 6064 MOSS reference voices. | 1 | |
| 8 | laion-ai/moss-voice-profiles Conditioned speech corpus generator: 808 conditions per voice, EN+DE paired, with demo grid | HTML | 1 |
| 9 | laion-ai/moss-mediathek-reinterpreted-voices Reinterpreted German reference voices (Mediathek-derived, synthetic) | 1 | |
| 10 | laion-ai/moss-reference-voice-search Reference-voice search demo — 1336 Gemini-annotated character voices, semantic + BM25 search | Python | 1 |
| 11 | laion-ai/voice-acting-search-agent Autonomous LLM-driven search agent for LoRA+prompt strategies on MOSS-VA-v2 voice acting TTS | Python | 1 |
| 12 | laion-ai/laion.ai.preview Preview for the new LAION.ai astro rewrite website. | 0 | |
| 13 | laion-ai/bud-e-flutter-openrouter School Bud-E as a Flutter app, wired to OpenRouter: pick the model for chat, vision, speech recognition, speech output, image and music from a live catalogue, filtered by EU hosting, zero data retention and price. | Dart | 0 |
| 14 | laion-ai/Humaneness-Voice-Demo-Server Streaming voice-acting demo server for MOSS-TTS-Local SFT3: an LLM directs the performance, retrieval picks the reference recording and emotion adapter, audio streams at 48 kHz. | Python | 0 |
| 15 | laion-ai/school-bud-e-openrouter School Bud-E is an intelligent and empathetic learning assistant designed to revolutionize the educational experience. | TypeScript | 0 |
| 16 | laion-ai/bud-e-openrouter A general human-ai interaction platform. | 0 | |
| 17 | laion-ai/storytree | Python | 0 |
| 18 | laion-ai/moss-reference-voice-taxonomy | 0 | |
| 19 | laion-ai/moss-acting-casting MOSS voice-acting: Hollywood casting-session agent runs — multi-part 30s performances, speaker continuity, prompts and scores per take | 0 | |
| 20 | laion-ai/moss-reinterpreted-voices 1000 reinterpreted reference voices (cluster->SIDON->pitch->MOSS reinterpretation) | 0 | |
| 21 | laion-ai/moss-reference-reinterpretation-beforeafter Reference-voice reinterpretation before/after preview | 0 | |
| 22 | laion-ai/moss-reinterpretation-dataset-preview Voice reinterpretation training-data preview (original + top-10 expressive re-performances, procedural captions + scores) | 0 | |
| 23 | laion-ai/moss-pitch-distortion-grid ±10% pitch-shift before/after grid for reference-voice de-identification | 0 | |
| 24 | laion-ai/moss-50k-voice-search VoiceCLAP text->audio search over 50k annotated voice samples | 0 | |
| 25 | laion-ai/moss-voicenet-manual MOSS-VA-v2 VoiceNet dimension-LoRA conditioning manual (dose-response, side-effects, audio) | HTML | 0 |
| 26 | laion-ai/moss-voicenet-highlow-grid VoiceNet dimension LoRAs — high vs low contrast grid | HTML | 0 |
| 27 | laion-ai/emotion-voice-conditions Emotion x voice x delivery-condition study on MOSS-TTS voice-acting: 6 voices, 40 emotions, 4 conditions, best-of-32. | HTML | 0 |
| 28 | laion-ai/character-voice-clusters Character voice clusters — VoiceNet embedding + age/background buckets, procedural captions | HTML | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.