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Search results for pytorch mlops

74 search results found

Made With Ml ⭐ 36,177

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Vllm ⭐ 13,832

A high-throughput and memory-efficient inference and serving engine for LLMs

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 ⭐ 7,843

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

Ml Engineering ⭐ 6,720

Machine Learning Engineering Open Book

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

Superduperdb ⭐ 3,924

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

Serve ⭐ 3,844

Serve, optimize and scale PyTorch models in production

Zenml ⭐ 3,750

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

Lightning Hydra Template ⭐ 3,680

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

God Level Data Science Ml Full Stack ⭐ 3,384

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Kserve ⭐ 3,239

Standardized Serverless ML Inference Platform on Kubernetes

Higgsfield ⭐ 3,235

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Deepchecks ⭐ 3,206

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Mlops Course ⭐ 2,744

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

Cube Studio ⭐ 1,710

cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对

Training Operator ⭐ 1,447

Distributed ML Training and Fine-Tuning on Kubernetes

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Onepanel ⭐ 707

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.

Cresset ⭐ 690

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

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

Efficient Dl Systems ⭐ 502

Efficient Deep Learning Systems course materials (HSE, YSDA)

Traceml ⭐ 493

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

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

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.

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

Active Learning As A Service ⭐ 206

A scalable & efficient active learning/data selection system for everyone.

Rust Mlops Template ⭐ 196

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

Hongbomiao.com ⭐ 194

A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Ml Model Ci ⭐ 135

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Yet Another Lightning Hydra Template ⭐ 129

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

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

Metadata store for Production ML

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Monai Deploy ⭐ 87

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

DagsHub client libraries

Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

Monai Deploy App Sdk ⭐ 74

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

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

Serving Pytorch Models ⭐ 43

Serving PyTorch models with TorchServe 🔥

Ml_exp_tracking_benchmark ⭐ 38

Evaluate wandb, tensorboard, neptune, mlflow, etc

Deploy and Monitor ML Model in Any Cloud

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

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

Mlops_wspycon2023 ⭐ 31

MLOps Workshop using Weights and Bias (Wandb) and Github Actions.

Pooya Mohammadi ⭐ 27

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

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

Polyaxon Core Client & CLI to streamline MLOps

MLup is framework for easy and fast run ML in production

AI book for everyone

Mlops Lab Example Yelp ⭐ 16

MLOps Lab Example using PyTorch to predict Yelp Reviews

Quickly compare PyTorch models in a local, lightweight registry

Common deep learning utils.

Pytorch Serving Workshop ⭐ 14

Slides and notebook for the workshop on serving bert models in production

Clean, reproducible, boilerplate-free deep learning project template.

Waffle_utils ⭐ 10

🧇Waffle Utils🧇 is a set of utilities for waffle components

ShopME: An E2E fashion recommendation System

Torchblaze ⭐ 10

A CLI-based python package that provides a suite of functionalities to perform end-to-end ML using PyTorch.

Ml Starter ⭐ 9

A template for quickly implementing ML ideas 🧠⚡

Public reusable components for Polyaxon

Mlops Engineering In Action ⭐ 8

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

End2endautomaticspeechrecognition ⭐ 7

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

Awesome Mlops Course Outline ⭐ 5

Awesome MLOps Course Outline

Bells And Whistles ⭐ 5

A batteries-included PyTorch template with a terminal display that stays out of your way!

Ray_vllm_inference ⭐ 5

A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.

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