Ehy Everybody 👋

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

Today Subject is... **AI!**

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 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
• Deep Learning Frameworks
• Natural Language Processing (NLP) Frameworks
• Computer Vision Frameworks
• Reinforcement Learning Frameworks
• Data Science Libraries
• Related Awesome Lists

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

• Awesome Machine Learning - A curated list of awesome machine learning frameworks, libraries, and software.
• Awesome Deep Learning - A curated list of awesome deep learning tutorials, projects, and communities.
• Awesome Data Science - An awesome list of data science software, tools, and resources.

I hope you like it!!

Share some love in the comments below.

Antonio, CEO & Founder at Litlyx.com