This repo contains deep learning(DL) papers reviews, presentations on DL/DS topics, data science learning materials

📦Portable package for running Hunyuan3D 2.0/2.1 on Windows. | 混元 3D 2.0/2.1 整合包

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

Master programming by recreating your favorite technologies from scratch.

Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

Real-time camera feed object detection with React.js, WASM, Rust, Candle ML, and YOLO

Model Activity Visualiser

Command line data matrix reader and encoder

Pure-python package to generate data matrix codes.

Executable example that is a part of my talk in Pycon Thailand 2023

Material inspired stylesheet for PySide2, PySide6, PyQt5 and PyQt6

IBM Data Engineering Courses from Coursera

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Tools to Design or Visualize Architecture of Neural Network

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Demo app for EF course

A curated list of data engineering tools for software developers

Elyra extends JupyterLab with an AI centric approach.