INI

AI/ML Frameworks - INI

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

[item.tensorflow]
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

[item.pytorch]
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

[item.keras]
code=03
slug=keras
name=Keras
description=A high-level deep learning API designed for humans.
developer=Google
language=Python
license=Apache 2.0

[item.scikit-learn]
code=04
slug=scikit-learn
name=Scikit-learn
description=A traditional machine learning library for Python.
developer=Community
language=Python
license=BSD

[item.jax]
code=05
slug=jax
name=JAX
description=A high-performance machine learning library developed by Google.
developer=Google
language=Python
license=Apache 2.0

[item.hugging-face-transformers]
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

[item.xgboost]
code=07
slug=xgboost
name=XGBoost
description=A fast and accurate gradient boosting library.
developer=Community
language=Python, C++
license=Apache 2.0

[item.lightgbm]
code=08
slug=lightgbm
name=LightGBM
description=A fast gradient boosting framework developed by Microsoft.
developer=Microsoft
language=Python, C++
license=MIT

[item.onnx]
code=09
slug=onnx
name=ONNX
description=An open standard for machine learning model interoperability.
developer=Microsoft, Facebook, AWS
language=Multiple
license=MIT

[item.apache-spark-mllib]
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