Awesome Open Source

Programming Languages

Search results for deep learning mlops

deep-learning x

111 search results found

Made With Ml ⭐ 36,177

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

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Label Studio ⭐ 16,753

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Awesome Production Machine Learning ⭐ 16,513

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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

Amazon Sagemaker Examples ⭐ 9,560

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

Bentoml ⭐ 6,575

The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

Clearml ⭐ 5,333

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Courses ⭐ 4,018

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Fedml ⭐ 3,946

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI

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

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.

Lance ⭐ 3,003

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

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.

Nannyml ⭐ 1,695

nannyml: post-deployment data science in python

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Awesome Seml ⭐ 1,135

A curated list of articles that cover the software engineering best practices for building machine learning applications.

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.

Deep Learning In Cloud ⭐ 670

List of Deep Learning Cloud Providers

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

Efficient Dl Systems ⭐ 502

Efficient Deep Learning Systems course materials (HSE, YSDA)

Machine_learning_and_deep_learning ⭐ 492

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

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

Mlops V2 ⭐ 393

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Encord Active ⭐ 385

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Resourcebank_cv_nlp_mlops_2022 ⭐ 375

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Vertex Ai Mlops ⭐ 344

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Mlops Specialization Notes ⭐ 252

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Clearml Agent ⭐ 219

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

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

Openml Guide ⭐ 215

An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.

HI-ML toolbox for deep learning for medical imaging and Azure integration

Active Learning As A Service ⭐ 206

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

Machine Learning ⭐ 206

Learn AI together, for free. AI learning and teaching resources for everyone.

Awesome Kubeflow ⭐ 169

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

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.

Aws Ml Jp ⭐ 120

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

Clearml Serving ⭐ 115

ClearML - Model-Serving Orchestration and Repository Solution

Meow Learning ⭐ 114

This is a pick-your-problem style guide I created to educate everyone from my leadership team to my ML engineers on the process of how to work with AI in production settings.

Swanlab ⭐ 108

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

Fastapi Template ⭐ 101

Complete Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as API framework.

PyMilo: Python for ML I/O

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Metadata store for Production ML

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.

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

Kamonohashi ⭐ 85

AI開発プラットフォームKAMONOHASHI

Benderopt ⭐ 85

Black-box optimization library

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.

Fsdl Text Recognizer 2022 ⭐ 71

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-t

Polyaxon Examples ⭐ 65

Code for tutorials and examples

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Mlops Templates ⭐ 57

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

a Wide Shelf for AI and Data Science | Resources 🍔

Cluster Installer ⭐ 51

Install a Paperspace compute cluster anywhere

Bert As A Service_tfx ⭐ 42

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

Aimodelshare ⭐ 38

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)

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.

Fakefinder ⭐ 32

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

Pooya Mohammadi ⭐ 27

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

Distributed Inference ⭐ 26

A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.

Full Stack On Prem Cv Mlops ⭐ 23

1 config, 1 command from Jupyter Notebook to serve Millions of users

Vodascheduler ⭐ 23

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

Ml_in_production ⭐ 22

A set of demo of deploying a Machine Learning Model in production using various methods

Mlnet Workshop ⭐ 21

ML.NET Workshop to predict car sales prices

Ml Recipe Bone Age ⭐ 21

Pediatric Bone Age Assessment

Predict Covid 19 ⭐ 21

Predicts COVID-19 from PA view of X-ray when submitted on the website

See And Tell ⭐ 21

See and Tell | Assistant to Experience Video Content With Ears

Polyaxon Core Client & CLI to streamline MLOps

Pipelime Python ⭐ 18

A swiss army knife for data processing!

Awesome Llmops ⭐ 18

Awesome series for LLMOps

Oreilly Transformers Nlp Mlops ⭐ 17

Session on MLOps

AI book for everyone

Vertex Edge ⭐ 16

A tool for training models to Vertex on Google Cloud Platform.

Quickly compare PyTorch models in a local, lightweight registry

Kubeflow Installation On Windows 10 ⭐ 15

Kubeflow installation on windows 10/11

Lightweight and modular MLOps library targeted at small teams or individuals

Are You A Cat ⭐ 15

An MLOps Project for the ZenML Month of MLOps Competition

Make Us Rich ⭐ 15

Cryptocurrency forecasting 📈 training and serving models made automatic

Common deep learning utils.

Public Talks ⭐ 14

Slides, videos, and supporting files for my public talks

Pytorch Serving Workshop ⭐ 14

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

Scale your ML workers asynchronously across processes and machines

E2eml Cookiecutter ⭐ 12

A generic template for building end-to-end machine learning projects

Related Searches

Python Deep Learning (20,124)

Jupyter Notebook Deep Learning (10,328)

Deep Learning Pytorch (6,257)

Deep Learning Neural Network (5,801)

Deep Learning Tensorflow (5,716)

Deep Learning Convolutional Neural Networks (4,142)

Deep Learning Neural (3,772)

Network Deep Learning (3,532)

Deep Learning Computer Vision (3,400)

Deep Learning Keras (3,218)

1-100 of 111 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.