- Paris, France
- @RomanYurchak
Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Python packaging and dependency management made easy
β‘ A Fast, Extensible Progress Bar for Python and CLI
The fundamental package for scientific computing with Python.
Turn (almost) any Python command line program into a full GUI application with one line
Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Faker is a Python package that generates fake data for you.
A framework for managing and maintaining multi-language pre-commit hooks.
Static site generator that supports Markdown and reST syntax. Powered by Python.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Cross-platform lib for process and system monitoring in Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open source annotation tool for machine learning practitioners.
π Python-powered shell. Full-featured and cross-platform.
all kinds of text classification models and more with deep learning
Automated Machine Learning with scikit-learn
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Efficiently computes derivatives of NumPy code.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A system-level, binary package and environment manager running on all major operating systems and platforms.
A system for quickly generating training data with weak supervision