An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl

autonomous open source ai agents in python

3D files, schematics, and documentation for Pilet—an open-source, modular, and portable mini-computer.

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

A Pytorch implementation of SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction

【MICCAI 2021】An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.

LLM101n: Let's build a Storyteller

The Autograd Engine

Programs & Exercises from "Computer Science: An Interdisciplinary Approach" by Robert Sedgewick & Kevin Wayne

Raspberry Pi examples to connect to http://thethings.iO

Metasploit Framework

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

LilyGO T-Display S3 setup and examples for Arduino IDE

Improved version of first ESP32 NerdMiner

QHack—The one-of-a-kind quantum computing hackathon

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Understanding Deep Learning - Simon J.D. Prince

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

This repo contains my work on software engineering with focus on Data Science/Machine Learning

Hybrid Quantum-Classical Machine Learning in TensorFlow

Simple demo showcasing baseline logic for BaQProp to learn "quantum data" [outdated]

Quantum Computing: An Applied Approach 교재 한글 번역 사이트

The Mojo Programming Language

You like pytorch? You like micrograd? You love tinygrad! ❤️

In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.

Companion site for the textbook Quantum Computing: An Applied Approach

An open-source Python framework for hybrid quantum-classical machine learning.