Popular GitHub Repositories for Ipython

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Kandinsky 2 — multilingual text2image latent diffusion model

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A Python frontend and library for ComfyUI

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Real-time GCC-NMF Blind Speech Separation and Enhancement

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

IPython widgets, interactive plots, interactive machine learning

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Kandinsky x Deforum — generating short animations

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Graph NLU is a natural language understanding tool that leverages the power of graph databases

S2D2: Simple Stable Diffusion based on Diffusers (Hires.fix on jupyter notebook, ipython or python interactive shell)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Co-Coder is a Python package that streamlines error debugging from Open AI chat GPT and Google Bard by providing hints, example code, and relevant Stack Overflow links.

Use GitHub Copilot to complete lines in iPython

A no-code development framework—Let AI do the coding for you ?