nannyml: post-deployment data science in python

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

[UNMAINTAINED] Automated machine learning for analytics & production

A python library and collection of notebooks for making art with machine learning.

MLBox is a powerful Automated Machine Learning python library.

Multi-class confusion matrix library in Python

Deep Learning Toolkit for Medical Image Analysis

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

MLOps using Azure ML Services and Azure DevOps

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

An open-source ML pipeline development platform

DepthAI Python API utilities, examples, and tutorials.

ML Collections is a library of Python Collections designed for ML use cases.

ML-Ensemble – high performance ensemble learning

Data compression in TensorFlow

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞