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54 search results found

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Wandb ⭐ 8,204

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Deeplake ⭐ 7,689

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Zenml ⭐ 3,626

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Kserve ⭐ 3,035

Standardized Serverless ML Inference Platform on Kubernetes

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Training Operator ⭐ 1,447

Distributed ML Training and Fine-Tuning on Kubernetes

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Onepanel ⭐ 704

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Neptune Client ⭐ 518

📘 The MLOps stack component for experiment tracking

Traceml ⭐ 490

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Modelstore ⭐ 334

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Distributed Ml Patterns ⭐ 270

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Mlops With Vertex Ai ⭐ 211

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Rust Mlops Template ⭐ 196

A work in progress to build out solutions in Rust for MLOPs

Tfx Addons ⭐ 116

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group

Swanlab ⭐ 108

🧐SwanLab: track and visualize all the pieces of your machine learning pipeline. Join our WeChat ⬇️

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Metadata store for Production ML

DagsHub client libraries

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

Semantic Segmentation Ml Pipeline ⭐ 77

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Mlops Hf Tf Vision Models ⭐ 54

MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

Bert As A Service_tfx ⭐ 42

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Deploy and Monitor ML Model in Any Cloud

Easiest way to use AI models without coding (Web UI & API support)

Serving Tensorflow Models ⭐ 37

Serving TensorFlow models with TensorFlow Serving 📙

Unified storage framework for the entire machine learning lifecycle

niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.

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

Pooya Mohammadi ⭐ 27

This is Pooya Mohammadi, Open Source Enthusiast, AI Developer & Researcher

Dual Deployments On Vertex Ai ⭐ 27

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

Vodascheduler ⭐ 23

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster

Cartpole Rl Remote ⭐ 22

CartPole game by Reinforcement Learning, a journey from training to inference

Ml Recipe Bone Age ⭐ 21

Pediatric Bone Age Assessment

Mlnet Workshop ⭐ 21

ML.NET Workshop to predict car sales prices

Polyaxon Core Client & CLI to streamline MLOps

MLup is framework for easy and fast run ML in production

Examples Gallery ⭐ 17

Sample notebooks that use the Openlayer Python API

Continuous Adaptation For Machine Learning System To Data Changes ⭐ 16

https://blog.tensorflow.org/2021/12/continuous-ada

Tfx Kubeflow Pipelines ⭐ 15

Kubeflow pipelines built on top of Tensorflow TFX library

Ai Ml Project Template ⭐ 11

A simple project template for Artificial Intelligence (AI), Machine Learning (ML) or Data Science with basic files, branches and directory structure.

Public reusable components for Polyaxon

Mlops Engineering In Action ⭐ 8

Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson

Tfx Nvidia Gpu ⭐ 7

Tensorflow TFX container image with NVIDIA drivers

Awesome Mlops Course Outline ⭐ 5

Awesome MLOps Course Outline

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