Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
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Updated
Nov 11, 2025 - TypeScript
Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
🚀 Accelerate your browsing with Directly, a Chromium extension for quick access to your favorite sites and searches, all with a simple keyboard shortcut.
🤖 Build an intelligent Deep Research AI agent to generate questions, optimize searches, and compile research reports using Next.js and top LLMs.
🔍 Enhance your workflow with Houtini LM, an MCP server that offloads code analysis and documentation tasks to LM Studio, streamlining your development process.
ML-Powered Research Assistant: A web application that processes PDF research documents, providing individual summaries, a comparative final summary, sentiment analysis, keyword extraction, and a RAG-powered chatbot for querying content. Built with a FastAPI backend and Next.js frontend, it leverages LLaMA and DistilBERT for NLP adv. capabilities.
Prompts, notebooks, and tools for generative pre-trained transformers.
TypeScript Tools for Node.js
A platform for building, training and running inference on TensorflowJS based language models with the assistance of LLM based agents on Google Cloud Run.
The web application for Texo, a minimalist SOTA LaTeX OCR model which contains only 20M parameters runs in browser. | 超轻量SOTA LaTeX公式识别模型,20M参数量的 web 应用仓库
Empathetic AI chatbot with real-time emotion detection (28 emotions) and sarcasm analysis. Built with FastAPI, React, and RoBERTa transformers to provide therapeutic conversational support. Part of my final year Synoptic Project for my degree.
⟡ Hexa - AI coding companion. Generate code with local AI (Transformers.js), Mock API, or cloud backends. Built with Next.js 14, TypeScript, and TailwindCSS. Privacy-first, keyboard-centric, and beautifully designed.
A minimalistic AI system that curates context-aware Q&A designed to make you think
AI-powered food recognition web app using Vision Transformer. Upload food images and get instant predictions with 94% accuracy across 101 categories. Built with React, Flask, and Hugging Face.
Hugging Face Transformers.js wrapper for on-device AI with web-workers
Locally-Hosted Media Gallery App with AI Similarity Search
🧬 Build your own conversational AI in minutes (or seconds) with this customizable chatbot template, utilizing modern technologies like Next.js, Tailwind CSS, RAG, Pinecone, and powerful LLM/GenAI APIs (with chunk streaming!) including OpenAI, Fireworks AI, and Anthropic AI. Time to unleash your creativity and transform ideas into reality! 🚀
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