huggingface

🤗 Unofficial huggingface/diffusers-based implementation of the paper "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis".

Source-available autonomous AI agent with a self-model that actually changes as it runs - ego, affect and identity grounded in real psychology (Higgins, PAD/OCC). Writes its own tools, drives a real browser, runs companies, and grades itself on measured outcomes. Stops before anything it can't take back.

LocalChat is a ChatGPT-like chat that runs on your computer

🚀 Building Go applications with LLMs through composability

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.

Fine-tuning Vision Transformers on various classification datasets

Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

A benchmark for AI-driven CAD generation and editing

Imagine with AI

Full in-browser Semantic Search with Huggingface Transformers.js and ElectricSQL's PGlite!

Lyrics generation with GPT2-based Transformer

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

Transformer Architectures for Generative AI

Embed machine learning models in your Dockerfile

🎭 Real-time voice-controlled 3D avatar with multimodal AI - speak naturally and watch your AI companion respond with perfect lip-sync

A private Claude-Code-style coding agent for Apple Silicon — run chat, code, and local model workflows on-device. MLX-native, Ollama/OpenAI API compatible, zero API keys.

A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval. Use it for your RAG.

The official implementation of "EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa"