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Awesome

An open API service indexing awesome lists of open source software.

awesome-ai

A curated list of awesome frameworks, libraries, tools, and resources for Artificial Intelligence (AI). This list covers everything from foundational machine learning and deep learning to specialized areas like NLP, computer vision, and AI ethics.
https://github.com/awesomelistsio/awesome-ai

Last synced: 4 days ago
JSON representation

  • Computer Vision

    • OpenCV - An open-source computer vision library for image and video processing.
    • Fastai - A library simplifying training of fast and accurate neural networks for vision tasks.
    • YOLO (You Only Look Once) - A state-of-the-art, real-time object detection system.
    • Detectron2 - A high-performance object detection library by Facebook AI Research.

  • Natural Language Processing (NLP)

    • NLTK - The Natural Language Toolkit, a comprehensive library for text processing and analysis.
    • spaCy - An open-source NLP library for advanced natural language processing in Python.
    • Stanford NLP - A suite of NLP tools developed by the Stanford NLP Group.
    • AllenNLP - An open-source research library for NLP, built on top of PyTorch.

  • General AI

    • Scikit-learn - A Python library for machine learning, featuring various classification, regression, and clustering algorithms.
    • Keras - A high-level neural networks API, written in Python and capable of running on top of TensorFlow or Theano.
    • TensorFlow - An open-source platform for machine learning, providing a comprehensive ecosystem of tools.
    • PyTorch - An open-source deep learning framework that provides a flexible and dynamic computation graph.
    • OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms.

  • Community

  • Learning Resources

  • Machine Learning

    • CatBoost - A gradient boosting library that handles categorical features automatically.
    • MLflow - An open-source platform for managing the end-to-end machine learning lifecycle.
    • Dask-ML - A scalable machine learning library that integrates with Dask for parallel computing.
    • XGBoost - A scalable and efficient gradient boosting framework.

  • Reinforcement Learning

    • TF-Agents - A library for reinforcement learning in TensorFlow.
    • RLlib - A scalable reinforcement learning library that integrates with Ray.
    • Ray RLlib - A scalable library for reinforcement learning built on Ray.
    • Acme - A library of reinforcement learning algorithms by DeepMind.

  • AI for Edge Computing

    • AWS IoT Greengrass - A service for deploying machine learning models on edge devices using AWS.
    • ONNX Runtime - A cross-platform, high-performance scoring engine for ONNX models.
    • TensorFlow Lite - A framework for running machine learning models on edge devices.

  • AI Ethics

  • Deep Learning

    • ONNX - An open format for AI models, allowing interoperability between different deep learning frameworks.
    • DeepSpeed - A deep learning optimization library that makes distributed training easy and efficient.
    • JAX - A library for high-performance numerical computing and automatic differentiation, designed for deep learning.
Programming Languages
Python 2 Java 1
Categories
General AI 5 Community 5 Learning Resources 4 Machine Learning 4 Computer Vision 4 Reinforcement Learning 4 AI Ethics 4 Natural Language Processing (NLP) 4 AI for Edge Computing 3 Deep Learning 3 License 1
Sub Categories
Keywords
stanford-nlp 1 nlp-parsing 1 nlp 1 natural-language-processing 1 named-entity-recognition 1 tensorflow 1 serving 1 rllib 1 reinforcement-learning 1 ray 1 pytorch 1 python 1 parallel 1 optimization 1 machine-learning 1 llm-serving 1 llm-inference 1 llm 1 large-language-models 1 hyperparameter-search 1 hyperparameter-optimization 1 distributed 1 deployment 1 deep-learning 1 data-science 1