Popular GitHub Repositories for Jupyter

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A neural network that transforms a design mock-up into a static website.

Machine Learning Toolkit for Kubernetes

Setup and customize deep learning environment in seconds.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A generative AI extension for JupyterLab

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

??? Advanced NLP with spaCy: A free online course

Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

GeoAI: Artificial Intelligence for Geospatial Data

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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

Ways of doing Data Science Engineering and Machine Learning in R and Python

The hands-on NLTK tutorial for NLP in Python