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complete_classification_task

complete_classification_task for messy data

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

deslib

A Python library for dynamic classifier and ensemble selection

feast

Feature Store for Machine Learning

feature_engine

Feature engineering package with sklearn like functionality

filtering-service-

The Restful project for filtering rectangulars

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hera-workflows

Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.

influxdb

Scalable datastore for metrics, events, and real-time analytics

ml-from-scratch

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.

ml_from_scratch

implementation some famous ml algorithms from scratch

mlens

ML-Ensemble – high performance ensemble learning

montreal_local_tv_market_share

neural-network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

spark-on-k8s-operator

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

spotlight

Deep recommender models using PyTorch.

starter-web

Simple starting point website project based upon Initializr