Jejak publik GitHub LAION AI

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Contrastive Language-Audio Pretraining

CLIP-like model evaluation

Audio Dataset for training CLAP and other models

A linear estimator on top of clip to predict the aesthetic quality of pictures

Pretrained Dalle2 from laion

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A summary of all lucidrains repositores and links to training / research approaches by LAION or other communities.

Collect large 3d dataset and build models

Description and pointers of laion datasets

A phenaki reproduction using pytorch.

Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

Home of `erlich` and `ongo`. Finetune latent-diffusion/glid-3-xl text2image on your own data.

Aim for the moon. If you miss, you may hit a star.

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Alice in Wonderland code base for experiments and raw experiments data

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Implementation of a discord channel scraper to generate datasets.

Let's make a video clip

O-GIA is an umbrella for research, infrastructure and projects ecosystem that should provide open source, reproducible datasets, models, applications & safety tools for Open Generalist Interactive Agents (O-GIA). O-GIA systems will act in collaboration with human or autonomously, supporting various kind of validated decision making and assistance.

A repository containing datasets and tools to train a watermark classifier.

An open toolbox for NSFW & toxicity detection

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Big-Interleaved-Dataset

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Tools for content datamining and NLP at scale

BUD-E (Buddy) is an open-source voice assistant framework that facilitates seamless interaction with AI models and APIs, enabling the creation and integration of diverse skills for educational and research applications.

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Adversarial Training and SFT for Bot Safety Models

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Inverts CLIP text embeds to image embeds and visualizes with deep-image-prior.

Building the laion5B paper

This repository contains prompts & best practices to annotate audio clips with a very high degree of details using Audio-Language-Models

Aggregating embeddings over time

This repository will be a summary and outlook on all our open, medical, AI advancements.

(wip) Use LAION-AI's CLIP "conditoned prior" to generate CLIP image embeds from CLIP text embeds.

Anh - LAION's multilingual assistant datasets and models

Scaled diffusion transformer for text-to-speech synthesis (DiT + T5Gemma2 conditioning, TorchTitan & Megatron backends, tested up to 1024 GPUs)

BUD-E (Buddy) is an open-source voice assistant framework that facilitates seamless interaction with AI models and APIs, enabling the creation and integration of diverse skills for educational and research applications.

Un-*** 50 billions multimodality dataset

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A frontend that is compatible to the school-bud-e-backend.

Here we provide and collect many functions to generate math problem and step by step solutions for LLM training

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A general human-ai interaction platform.

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Open-weights voice acting pipeline combining zero-shot voice cloning with natural-language direction. Provide a reference voice (or generate one) and describe how the line should be performed. Produces speech that keeps the voice identity while following emotional and stylistic prompts—no training required.

Frontend (and soon also midleware and backend) for a new, opensource image generation platform.

This project provides a data set with bounding boxes, body poses, 3D face meshes & captions of people from our LAION-2.2B. Additionally it provides clusters based on the poses and face meshes and pose-related captions based on these cluster assignments.

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This is the LAION repository for creating open super-resolution models with the help of LAION-5B subsets.

This repository contains training code and checkpoitns for finetuning glide.

Projects at LAION

Easily compute model embeddings and save the embeddings.

Official repo for Project Alexandria

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Knowledge Acquisition and Interlinking via Semantic Embeddings and Reasoning

MegaTron open-sci fork

Collection of three complementary voice taxonomies: VoiceNet (59 speech dimensions), EmoNet (40 emotion categories), VocalBurst (82 non-speech sounds)

Retrieval-augmented voice cloning and emotion conditioning data generation pipeline. Combines Echo TTS, ChatterboxVC, and Empathic Insight Voice+ to generate large-scale datasets of emotionally conditioned speech with disentangled speaker identity and emotional prosody.

OpenCLIP fork with MaMMUT support

A collection of safety classifiers and models to process image and texts.

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Official repository for the NeurIPS 2025 paper “EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition.” Includes a 40-category emotion taxonomy, balanced synthetic datasets, expert annotations, and baseline models for fair and reproducible evaluation.

A repository with data for annotation.

A basic setup for decentralized-learning that can be used for training future DALLE/CLIP/CLAP models.

High-level Python library for zero-shot voice conversion using Resemble AI's Chatterbox S3Gen model

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Building an agentic voice assistant for mobile & desktop devices with episodic, semantic & procedural memories

A template for procedural template generation using JSON outputs form LLMs.

Alice in Wonderland project and initiative webpage

Creating subsets from laion5b via embeddings search

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File server for curiosit-e content.

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A prototype showing how to stream using Django x htmx.

A client library for Crawling@Home's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.

School Bud-E is an intelligent and empathetic learning assistant designed to revolutionize the educational experience.

Admin Bud-E is a lightweight, privacy-first control center for AI chat, speech-to-text, and text-to-speech. Manage providers, routing, and costs with a simple Admin Console. Give users per-period credits, prices per model, and a shared Common Pool. EU-friendly via OpenAI-Format endpoints or our optional Google Cloud Vertex proxy.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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Mobile app development of all bud-e derivatives.

LaionBox: Fine-tuned DramaBox TTS with Multi-Auxiliary Differentiable Losses

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Self-contained DramaBox voice acting pipeline: VoiceNet taxonomy, multi-GPU prompt generation, TTS synthesis, and audio refinement

Benchmark analysis

JAX/TPU training code for EchoTTS with DACVAE latent codec

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Multi-node scaling benchmarks for CLAP contrastive audio-language models on HPC clusters

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