Awesome | AI open-framework

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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.

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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.

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Antonio, CEO & Founder at Litlyx.com