Machine Learning Libraries - spinningideas/resources GitHub Wiki

Libraries for Machine Learning

AWS Rekognition

• https://aws.amazon.com/rekognition/
• https://docs.aws.amazon.com/rekognition/latest/dg/detect-labels-console.html
• https://medium.com/zenofai/object-detection-in-react-native-app-using-aws-rekognition-ebd39b1270c2

PyTorch

• https://pytorch.org/
• https://github.com/spinningideas/resources/wiki/PyTorch

TensorFlow

• https://www.tensorflow.org/
• https://github.com/spinningideas/resources/wiki/Tensor-Flow

ONNX.js

• https://github.com/microsoft/onnxjs

Python Libraries

Scikit-Learn

Collection of algorithms and tools for machine learning that includes most of the classification, regression, and clustering algorithms, and it’s designed to work with Python numerical and scientific libraries: Numpy and SciPy.

Numpy

Numpy package is a math library to work with N-dimensional arrays in Python. It enables you to do computation efficiently and effectively.

SciPy

Matplotlib

Library for data visualization and making graphs and plots including 2D plotting as well as 3D plotting.