Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney

Learn Python for free using open-source notebooks in Hebrew.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Visualize Python code execution (line-by-line) in Jupyter Notebook cells.

✍ 记录一路走来学习的计算机专业知识 ，力求构建 AI & CS & SE 知识体系

Stress classifier with AutoML

TRAINS Jupyter Notebook Plugin - Add GIT Support For Jupyter Notebook

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

A set of notebook tutorials for RSGISLib.

Jupyter notebook magics to embed pythontutor.com within an IFrame in the Jupyter (classic or Lab) notebook using the code from a Jupyter code cell.

📓R学习笔记与进阶之道

Jupyter notebooks to teach an introduction to Programming for GIS, including core Python concepts and packages to work with vector, raster, and network data.

A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!

Basic Python learning - notebooks

Notebooks and supporting files for SQLite for Data Scientists Online Live Training, on OReilly Learning Platform

My Programming Learning Notes

Notebooks/materials on Big Data with PySpark skill track from datacamp (primarily). Also, contains books/cheat-sheets.

UNCode is an online platform for frequent practice and automatic evaluation of computer programming, Jupyter Notebooks and hardware description language (VHDL/Verilog) assignments. Also provides a pluggable interface with your existing LMS.

Collection of notebooks I made to illustrate some machine learning concepts and models in this repo, most of the models in this repo are built once from scratch and once using built-in models from libraries like sklearn.