Stars
Opensource IDE For Exploring and Testing API's (lightweight alternative to Postman/Insomnia)
💫 Toolkit to help you get started with Spec-Driven Development
Programming tutorials for C, C#, Python, Javascript, Typescript, React, Go, HTML/CSS, Java. PHP and more
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of awesome computer vision resources
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…
Sample code for Channel 9 Python for Beginners course
<Foundations of Computer Vision> Book
8-week curriculum for AI Builders
[ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
This repository contains the Hugging Face Agents Course.
Tool for helping developers keep their code bases clean and decoupled. It allows visualising a code base complexity using a 3d force-directed graph of files and the dependencies between them.
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
This is a repo with links to everything you'd ever want to learn about data engineering
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
code and resources used in the Going Meta sessions
Learn ML engineering for free in 4 months! Register here 👇🏼
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
The open source mesh processing python library
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Curated list of data science interview questions and answers
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
This repository contains demos I made with the Transformers library by HuggingFace.
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton