Lists (10)
Starred repositories
How I Scaled from Zero to a Million Store on Dukaan, Without a CS Degree. .. A System Design Handbook by Subhash Choudhary
A curated list of 120+ LLM libraries category wise.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Dockerized web application with DI on FastAPI, sqlalchemy2, PostgreSQL
Write components once, run everywhere. Compiles to React, Vue, Qwik, Solid, Angular, Svelte, and more.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Making the community's best AI chat models available to everyone.
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
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.
FastAPI Best Practices and Conventions we used at our startup
Chat first code editor. To download the packaged app:
This collection demonstrates how to help you to quickly embed Watson Speech in your own applications.
A modular voice assistant application for experimenting with state-of-the-art transcription, response generation, and text-to-speech models. Supports OpenAI, Groq, Elevanlabs, CartesiaAI, and Deepg…
Official inference repo for FLUX.1 models
Examples of Golang compared to Node.js for learning 🤓 By @miguelmota
Speech To Speech: an effort for an open-sourced and modular GPT4-o
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Train transformer language models with reinforcement learning.
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Curated front end system design resources for interviews and learning
21 Lessons, Get Started Building with Generative AI
Cheatsheet collection for Math, ML, DL, AI. Update frequently
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.