Learning · GitHub

Education repo offered as material in the courses: Kotlin Multiplatform & Compose Multiplatform Masterclasses.

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

The GitHub Copilot app is an agent-native desktop experience for finding, running, steering, and landing software work across your GitHub repositories.

An awesome list of self-driving cars

Collect any pixel art tutorials

Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS (Nat Biotechnology)

A collection of offline reinforcement learning algorithms.

Live Electronics Tutorial with examples in Pure Data and the ELSE Library

:zap: Awesome configurations for the development environments

The GitHub Copilot app is an agent-native desktop experience for finding, running, steering, and landing software work across your GitHub repositories.

This is the project for PowerPointLabs, a productivity add-in for PowerPoint

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

This hacktoberfest project exists to help you submit your first Pull Request and welcome you to the world of open source!

Notes and tutorials on Density Functional Theory calculation using Quantum ESPRESSO.

Python for Hackers - Youtube Tutorials - Priyank Gada

This repository provides comprehensive resources for learning Agentic AI, including blogs, tutorials, and projects that will help you master generative AI and develop industry-grade applications.

😎 A curated list of awesome robotics resources based on ROS

Public GitHub repository

Python script (and library) for exporting icons from icon fonts (e.g. Font Awesome, Octicons) as PNG images

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

A tutorial/template repository to explain how to create your eslint plugins

Curated quantization research for VLA & WAM models — 180+ papers, a five-category taxonomy, a roadmap, and a companion PTQ + LIBERO toolkit (quant-vla).

Exploy: EXport and dePLOY Reinforcement Learning policies