1633 Open source projects that are alternatives of or similar to mloperator

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Public reusable components for Polyaxon

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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

关注AI模型上线、模型部署

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Framework of vectorized and distributed data analytics

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Serverless Inferencing on Kubernetes

A full pipeline AutoML tool for tabular data

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

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Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Stacked Generalization (Ensemble Learning)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Allstate Kaggle Competition ML Capstone Project

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Standalone TensorBoard for visualizing in deep learning

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

⏱ Benchmarks of machine learning inference for Go

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Automatically sync groups into Kubernetes RBAC

A library for performing hyperparameter optimization

The Elixir based Kubernetes Development Framework

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

A python library for decision tree visualization and model interpretation.

Alpine Container for Machine Learning

Cronjobber is a cronjob controller for Kubernetes with support for time zones

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

[UNMAINTAINED] Automated machine learning for analytics & production

Open standard for machine learning interoperability

Infinispan Operator

Polyaxon Core Client & CLI to streamline MLOps

Parallel computing with task scheduling

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A GitOps Operator for Kubernetes

AutoGluon: AutoML for Text, Image, and Tabular Data

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

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Automatic machine learning for tabular data. ⚡🔥⚡

一款强大的云原生redis-operator，经过大规模生产级运行考验，支持分布式集群、支持主备切换等缓存集群解决方案…The powerful cloud-native redis-operator, which has passed the test of large-scale production-level operation, supports distributed clusters and active/standby switching ...

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Managing Kubernetes Quota with confidence

Scalable machine 🤖 learning for time series forecasting.

The collaboration workspace for Machine Learning

Repository for k8s Mediaserver Operator project

A cloud native Kubernetes Global Balancer

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

📒 Experiment tracking tool and model registry

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training