- Bangkok, Thailand
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07:47
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- @athivvat
Highlights
Lists (10)
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🤖 AI/ML
A curated collection of cutting-edge research papers, articles, and resources in Artificial Intelligence and Machine Learning.🕷️ AI Multi-Agent
😎 Awesome Project
🐍 Awesome Python
💻 Computer Science
📊 Data Science & Data Analytics
📝 Documentation
The framework for building documentation⚛️ React Library
Stars
High-performance In-browser LLM Inference Engine
A modified web browser that helps in responsive web development. A web developer's must have dev-tool.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
A new local-first, privacy-focused and open-source home for your markdown notes
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
An awesome repository of local AI tools
A template repository for creating a waitlist using Next.js 14, Notion as a CMS, Upstash Redis for rate limiting and Resend for sending emails with a custom domain.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Speech To Speech: an effort for an open-sourced and modular GPT4-o
In-browser Postgres sandbox with AI assistance
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Official repo for CVPR2024 paper "Single Domain Generalization for Crowd Counting"
Badget aims to simplify financial management with a user-friendly interface and robust backend
Distributed LLM and StableDiffusion inference for mobile, desktop and server.
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.
A zoomable shadcn/rechart chart.