mlflow/mlflow

Visual analysis and diagnostic tools to facilitate machine learning model selection.

A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.

Parris, the automated infrastructure setup tool for machine learning algorithms.

A platform for reproducible and scalable machine learning and deep learning on kubernetes

Bare bone examples of machine learning in TensorFlow

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Colossus An example microservice architecture for Kubernetes using Bazel, Go, Java, Docker, Kubernetes, Minikube, Gazelle, gRPC, Prometheus, Grafana, and more

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Intelligent proxy pool for Humans (Maintainer needed)