YAML

AI/ML Frameworks - YAML

AI/ML frameworks are software libraries and tools that assist in building, training, and deploying machine learning models. Various frameworks centered around Python exist, including TensorFlow, PyTorch, Keras, and Scikit-learn, catering to diverse applications such as deep learning, traditional machine learning, and edge computing. These frameworks serve as essential infrastructure for the proliferation and development of AI technology, from research and development to production deployment.

machine learning deep learning AI Python TensorFlow PyTorch data science

- code: "01"
  slug: "tensorflow"
  name: "TensorFlow"
  description: "An open-source machine learning framework developed by Google."
  developer: "Google"
  language: "Python, C++, CUDA"
  license: "Apache 2.0"
- code: "02"
  slug: "pytorch"
  name: "PyTorch"
  description: "A machine learning framework featuring dynamic computation graphs, developed by Meta."
  developer: "Meta"
  language: "Python, C++"
  license: "BSD"
- code: "03"
  slug: "keras"
  name: "Keras"
  description: "A high-level deep learning API designed for humans."
  developer: "Google"
  language: "Python"
  license: "Apache 2.0"
- code: "04"
  slug: "scikit-learn"
  name: "Scikit-learn"
  description: "A traditional machine learning library for Python."
  developer: "Community"
  language: "Python"
  license: "BSD"
- code: "05"
  slug: "jax"
  name: "JAX"
  description: "A high-performance machine learning library developed by Google."
  developer: "Google"
  language: "Python"
  license: "Apache 2.0"
- code: "06"
  slug: "hugging-face-transformers"
  name: "Hugging Face Transformers"
  description: "A library for natural language processing and large language models."
  developer: "Hugging Face"
  language: "Python"
  license: "Apache 2.0"
- code: "07"
  slug: "xgboost"
  name: "XGBoost"
  description: "A fast and accurate gradient boosting library."
  developer: "Community"
  language: "Python, C++"
  license: "Apache 2.0"
- code: "08"
  slug: "lightgbm"
  name: "LightGBM"
  description: "A fast gradient boosting framework developed by Microsoft."
  developer: "Microsoft"
  language: "Python, C++"
  license: "MIT"
- code: "09"
  slug: "onnx"
  name: "ONNX"
  description: "An open standard for machine learning model interoperability."
  developer: "Microsoft, Facebook, AWS"
  language: "Multiple"
  license: "MIT"
- code: "10"
  slug: "apache-spark-mllib"
  name: "Apache Spark MLlib"
  description: "A distributed machine learning library for large-scale data."
  developer: "Apache Software Foundation"
  language: "Python, Scala, Java"
  license: "Apache 2.0"