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Super Resolution for images using deep learning.
Generic automation framework for acceptance testing and RPA
Minimal and clean examples of machine learning algorithms implementations
🐚 Python-powered shell. Full-featured and cross-platform.
A terminal spreadsheet multitool for discovering and arranging data
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Please post prob…
A system-level, binary package and environment manager running on all major operating systems and platforms.
A Python library for the Docker Engine API
A Python scikit for building and analyzing recommender systems
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Cowrie SSH/Telnet Honeypot https://docs.cowrie.org/
🌠 Dark powered asynchronous completion framework for neovim/Vim8
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Python-based continuous integration testing framework; your pull requests are more than welcome!
Using the jedi autocompletion library for VIM.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A Python module for learning all major algorithms
The lektor static file content management system
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.