Multi Model Server is a tool for serving neural net models for inference
β1,026May 20, 2024Updated 2 years ago
Alternatives and similar repositories for multi-model-server
Users that are interested in multi-model-server are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β413Nov 20, 2023Updated 2 years ago
- ONNX model format support for Apache MXNetβ96Mar 8, 2019Updated 7 years ago
- Logging MXNet data for visualization in TensorBoard.β324Nov 30, 2021Updated 4 years ago
- Serve, optimize and scale PyTorch models in productionβ4,350Aug 6, 2025Updated 11 months ago
- MxNet to ONNX Exporterβ55Jul 31, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juliβ¦β20,819Oct 25, 2023Updated 2 years ago
- A curated list of MXNet examples, tutorials and blogs.β834Mar 14, 2022Updated 4 years ago
- mxnet model serving studyβ28Apr 28, 2019Updated 7 years ago
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.β10,855Updated this week
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet supportβ287Feb 21, 2023Updated 3 years ago
- An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporβ¦β2,566Apr 19, 2020Updated 6 years ago
- A low-latency prediction-serving systemβ1,421Apr 26, 2021Updated 5 years ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at hβ¦β143Oct 7, 2024Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.β14,694Jun 20, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A flexible, high-performance serving system for machine learning modelsβ6,354Updated this week
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at httpsβ¦β29Sep 13, 2023Updated 2 years ago
- NLP made easyβ2,544Oct 6, 2023Updated 2 years ago
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β530Jan 16, 2026Updated 6 months ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning modelsβ4,763Mar 23, 2026Updated 3 months ago
- Open Machine Learning Compiler Frameworkβ13,595Updated this week
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (httpβ¦β188Updated this week
- Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorchβ1,215Oct 24, 2024Updated last year
- Gluon CV Toolkitβ5,920Nov 25, 2024Updated last year
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Coβ¦β5,806Aug 7, 2025Updated 11 months ago
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learβ¦β5,728Updated this week
- A library for training and deploying machine learning models on Amazon SageMakerβ2,254Updated this week
- Machine Learning Model Deployment Made Simpleβ714Oct 16, 2018Updated 7 years ago
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.β496May 18, 2023Updated 3 years ago
- Open standard for machine learning interoperabilityβ21,179Updated this week
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β202Aug 25, 2025Updated 10 months ago
- Deep Learning Server and CLI for Torch and TensorRTβ2,550Updated this week
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β144Jul 1, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting β’ AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Image Retrieval Experiment Using Triplet Lossβ26Dec 12, 2016Updated 9 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlowβ252Mar 12, 2020Updated 6 years ago
- β1,650Sep 11, 2018Updated 7 years ago
- Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.β10,975Updated this week
- An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.ioβ267Apr 14, 2020Updated 6 years ago
- One stop shop for running AI/ML on AWS.β1,183Updated this week
- Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041β57Nov 22, 2022Updated 3 years ago