Awesome | AI open-framework
Tags: discuss, beginners, opensource, learning
Published: 2024-06-09 08:13:11

## Ehy Everybody 👋

It’s Antonio here, CEO & Founder at [Litlyx](https://litlyx.com).

```bash
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](https://github.com/Litlyx/litlyx) on git.

## Let’s Dive in!
[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
## 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](#general-purpose-frameworks)
- [Deep Learning Frameworks](#deep-learning-frameworks)
- [Natural Language Processing (NLP) Frameworks](#natural-language-processing-nlp-frameworks)
- [Computer Vision Frameworks](#computer-vision-frameworks)
- [Reinforcement Learning Frameworks](#reinforcement-learning-frameworks)
- [Data Science Libraries](#data-science-libraries)
- [Related Awesome Lists](#related-awesome-lists)

## General-Purpose Frameworks
- **[TensorFlow](https://www.tensorflow.org/)** - An end-to-end open-source machine learning platform.
- **[PyTorch](https://pytorch.org/)** - An open-source machine learning framework based on the Torch library.
- **[Scikit-learn](https://scikit-learn.org/)** - A simple and efficient tool for data mining and data analysis.
- **[Apache MXNet](https://mxnet.apache.org/)** - A deep learning framework designed for both efficiency and flexibility.

## Deep Learning Frameworks
- **[Keras](https://keras.io/)** - A deep learning API written in Python, running on top of the machine learning platform TensorFlow.
- **[Theano](http://deeplearning.net/software/theano/)** - An open-source symbolic tensor manipulation framework.
- **[Caffe](http://caffe.berkeleyvision.org/)** - A deep learning framework made with expression, speed, and modularity in mind.
- **[Chainer](https://chainer.org/)** - A flexible framework that allows you to train neural networks in a straightforward manner.

## Natural Language Processing (NLP) Frameworks
- **[SpaCy](https://spacy.io/)** - An open-source software library for advanced natural language processing.
- **[NLTK](https://www.nltk.org/)** - A leading platform for building Python programs to work with human language data.
- **[Transformers by Hugging Face](https://huggingface.co/transformers/)** - State-of-the-art natural language processing for PyTorch and TensorFlow 2.0.

## Computer Vision Frameworks
- **[OpenCV](https://opencv.org/)** - Open source computer vision and machine learning software library.
- **[SimpleCV](http://simplecv.org/)** - An open-source framework for building computer vision applications.
- **[Detectron2](https://github.com/facebookresearch/detectron2)** - FAIR’s next-generation research platform for object detection and segmentation.

## Reinforcement Learning Frameworks
- **[OpenAI Gym](https://gym.openai.com/)** - A toolkit for developing and comparing reinforcement learning algorithms.
- **[Stable Baselines3](https://github.com/DLR-RM/stable-baselines3)** - A set of reliable implementations of reinforcement learning algorithms in PyTorch.
- **[RLlib](https://docs.ray.io/en/latest/rllib.html)** - A library for reinforcement learning that offers both high scalability and a unified API.

## Data Science Libraries
- **[Pandas](https://pandas.pydata.org/)** - A fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation library.
- **[NumPy](https://numpy.org/)** - The fundamental package for scientific computing with Python.
- **[Matplotlib](https://matplotlib.org/)** - A comprehensive library for creating static, animated, and interactive visualizations in Python.
- **[SciPy](https://www.scipy.org/)** - A Python-based ecosystem of open-source software for mathematics, science, and engineering.

## Related Awesome Lists
- **[Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)** - A curated list of awesome machine learning frameworks, libraries, and software.
- **[Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning)** - A curated list of awesome deep learning tutorials, projects, and communities.
- **[Awesome Data Science](https://github.com/academic/awesome-datascience)** - 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](https://litlyx.com)