Reference implementations of popular deep learning models. - keras-team/keras-applications

Utilities for working with image data, text data, and sequence data. - keras-team/keras-preprocessing

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs - idealo/nvidia-docker-keras

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks - GitHub - IntelLabs/nlp-architect: A model library...

Continuous Domain Game of Life in Python with Numpy - duckythescientist/SmoothLife

Visual analysis and diagnostic tools to facilitate machine learning model selection. - DistrictDataLabs/yellowbrick

Retro Games in Gym. Contribute to openai/retro development by creating an account on GitHub.

Mimikatz implementation in pure Python. Contribute to skelsec/pypykatz development by creating an account on GitHub.

A scheduled Python script that scrapes new song titles and builds 🔥 playlists through the Spotify API - mileshenrichs/spotify-playlist-generator

Intelligent proxy pool for Humans™ to extract content from the internet and build your own Large Language Models in this new AI era - MikeChongCan/scylla

Colossus — An example microservice architecture for Kubernetes using Bazel, Go, Java, Docker, Kubernetes, Minikube, Gazelle, gRPC, Prometheus, Grafana, and more - lucperkins/colossus

modelXplore - ModelXplore, a python based model exploration

A rewrite of Python's builtin doctest module (with pytest plugin integration) with AST instead of RegEx. - Erotemic/xdoctest

forge (python signatures) for fun and profit. Contribute to dfee/forge development by creating an account on GitHub.

Read data from, write data to, and modify the formatting of Google Sheets - Squarespace/datasheets

After creating the Free Wtr bot using Tweepy and Python and this code, I wanted a way to see how Twitter users were perceiving the bot and…

In this tutorial, you'll explore the various ways of interacting with Python. You'll learn about the REPL for quick testing and running scripts, as well as how to work with IDEs, Jupyter Notebooks, and online interpreters.

Learn how to add maps and location-based data to your web applications using Mapbox. Great post on fullstackpython.com!

Consultants have a warning for those attempting too much: “don’t boil the ocean.” The imagery is vivid, imagine looking out from shore into the endless horizon and attempting to get that massive body…

Let’s start with time series: they're everywhere. From stock markets, to weekly company sales, to speech recognition. But what are they?