Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
☆165May 3, 2024Updated 2 years ago
Alternatives and similar repositories for sagemaker-debugger
Users that are interested in sagemaker-debugger are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆129Nov 14, 2023Updated 2 years ago
- In this repo, we show how to host two computer vision models trained using the TensorFlow framework under one SageMaker multi-model endpo…☆12Jun 8, 2021Updated 5 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Feb 11, 2025Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆202Aug 25, 2025Updated 11 months ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆530Jan 16, 2026Updated 6 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Jun 4, 2025Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆143Oct 7, 2024Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆144Jul 1, 2026Updated last month
- A library for training and deploying machine learning models on Amazon SageMaker☆2,257Updated this week
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆413Nov 20, 2023Updated 2 years ago
- One stop shop for running AI/ML on AWS.☆1,183Updated this week
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆260Jul 7, 2025Updated last year
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆75Jun 17, 2024Updated 2 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Sep 13, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆188Jul 14, 2026Updated 3 weeks ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆29Sep 13, 2023Updated 2 years ago
- Natural language processing & computer vision models optimized for AWS☆143Jan 5, 2023Updated 3 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆188Jun 22, 2020Updated 6 years ago
- ☆145Jan 23, 2023Updated 3 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98May 11, 2023Updated 3 years ago
- Sagemaker Studio Docker UI Extension☆12Apr 17, 2024Updated 2 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆334Apr 15, 2021Updated 5 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Nov 18, 2019Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆13Nov 1, 2024Updated last year
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and i…☆624Updated this week
- Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.☆10,981Jul 30, 2026Updated last week
- Mastering Data Science Engineering☆14Oct 2, 2025Updated 10 months ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆298Apr 15, 2025Updated last year
- SageMaker Studio Docker CLI Extension☆14Apr 17, 2024Updated 2 years ago
- Utility which provides a UI to do prompt engineering within SageMaker Studio.☆14Jul 5, 2023Updated 3 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆136Apr 20, 2023Updated 3 years ago
- Multi Model Server is a tool for serving neural net models for inference☆1,024May 20, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- NVIDIA device plugin for Kubernetes☆15Sep 9, 2019Updated 6 years ago
- SageMaker Experiments and DVC☆19Jul 28, 2026Updated last week
- ☆139Mar 5, 2026Updated 5 months ago
- Sample code supporting the `Generating REST APIs from data classes in Python` blog post☆11May 20, 2024Updated 2 years ago
- Amazon SageMaker operator for Kubernetes☆150Jul 19, 2023Updated 3 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Oct 13, 2022Updated 3 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆426Apr 2, 2024Updated 2 years ago