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Antonio | CEO at Litlyx.com
Antonio | CEO at Litlyx.com

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Awesome | AI open-framework

Ehy Everybody 👋

It’s Antonio here, CEO & Founder at Litlyx.

Today Subject is... **AI!**
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I come back to you with a curated Awesome List of resources that you can find interesting.

I will contribute to this community as much as I can because I love it.

Share some love to our open-source repo on git.

 Let’s Dive in!

Awesome

Awesome AI Open Source Frameworks

A curated list of awesome open-source frameworks for artificial intelligence, machine learning, deep learning, and data science.

Table of Contents

General-Purpose Frameworks

  • TensorFlow - An end-to-end open-source machine learning platform.
  • PyTorch - An open-source machine learning framework based on the Torch library.
  • Scikit-learn - A simple and efficient tool for data mining and data analysis.
  • Apache MXNet - A deep learning framework designed for both efficiency and flexibility.

Deep Learning Frameworks

  • Keras - A deep learning API written in Python, running on top of the machine learning platform TensorFlow.
  • Theano - An open-source symbolic tensor manipulation framework.
  • Caffe - A deep learning framework made with expression, speed, and modularity in mind.
  • Chainer - A flexible framework that allows you to train neural networks in a straightforward manner.

Natural Language Processing (NLP) Frameworks

  • SpaCy - An open-source software library for advanced natural language processing.
  • NLTK - A leading platform for building Python programs to work with human language data.
  • Transformers by Hugging Face - State-of-the-art natural language processing for PyTorch and TensorFlow 2.0.

Computer Vision Frameworks

  • OpenCV - Open source computer vision and machine learning software library.
  • SimpleCV - An open-source framework for building computer vision applications.
  • Detectron2 - FAIR’s next-generation research platform for object detection and segmentation.

Reinforcement Learning Frameworks

  • OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms.
  • Stable Baselines3 - A set of reliable implementations of reinforcement learning algorithms in PyTorch.
  • RLlib - A library for reinforcement learning that offers both high scalability and a unified API.

Data Science Libraries

  • Pandas - A fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation library.
  • NumPy - The fundamental package for scientific computing with Python.
  • Matplotlib - A comprehensive library for creating static, animated, and interactive visualizations in Python.
  • SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering.

Related Awesome Lists


I hope you like it!!

Share some love in the comments below.

Antonio, CEO & Founder at Litlyx.com

Top comments (1)

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Błażej Adamczyk

I love it. I knew about 80% of them already, but still, nice to have it all in one place :)