The fastai book, published as Jupyter Notebooks

LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification

Community maintained fork of pdfminer - we fathom PDF

Apache Spark docker image

Resources for deep learning with satellite & aerial imagery

Machine Learning sample apps

A python library for easy manipulation and forecasting of time series.

Code for Data Pipelines with Apache Airflow

A repository to host extended examples and tutorials

Documentation and samples for ArcGIS API for Python

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A topic-centric list of HQ open datasets.

Code samples used on cloud.google.com

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.

Comprehensive Python Cheatsheet

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

An easier way to build neural search on the cloud

PyTorch Tutorials from my YouTube channel

PyTorch Tutorial for Deep Learning Researchers

Tesseract Open Source OCR Engine (main repository)

A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.

A unified toolbox for machine learning with time series

YOLOv5 in PyTorch > ONNX > CoreML > iOS

Fast and Easy Infinite Neural Networks in Python

Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.