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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
General Resources for Competitive Programming
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Fullstack app framework for web, desktop, mobile, and more.
Custom fork of stable-diffusion-webui for headshot photo generation
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A tool designed to analyze the download size of Android applications. Provides detailed insights into app binary composition through a Gradle plugin and CLI tool to help developers optimize app siz…
A fully functional Android ToDo app built entirely with Kotlin and Jetpack Compose
All Algorithms implemented in Python
An extremely fast Python linter and code formatter, written in Rust.
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
a clone of Eraser.io built with a modern tech stack! Leveraging Next.js, Tailwind CSS, Shadcn/UI, Convex Database, and Kinde Authentication, this project aims to push the boundaries of web developm…
Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…
Convert PDF to markdown + JSON quickly with high accuracy
💿 Free software that works great, and also happens to be open-source Python.
Anthropic's educational courses
Single-header file, minimalist tensor library (and neural net runtime engine) in pure C
A Phaser 3 TypeScript project template that demonstrates React communication and uses Vite for bundling
A collection of pre-trained, state-of-the-art models in the ONNX format
Investment Research for Everyone, Everywhere.
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
A reference of Windows API function calls, including functions for file operations, process management, memory management, thread management, dynamic-link library (DLL) management, synchronization,…
Curated list of project-based tutorials
Python training for business analysts and traders