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
Top comments (1)
I love it. I knew about 80% of them already, but still, nice to have it all in one place :)