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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Created
2017-10-23
3,153 commits to default branch, last one 7 days ago
Probabilistic time series modeling in Python
Created
2019-05-15
1,478 commits to dev branch, last one about a month ago
A library for training and deploying machine learning models on Amazon SageMaker
Created
2017-11-14
4,010 commits to master branch, last one 19 hours ago
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Created
2023-06-16
632 commits to main branch, last one 16 days ago
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Created
2020-01-17
3,062 commits to master branch, last one a day ago
Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.
Created
2022-05-10
2,046 commits to main branch, last one 19 hours ago
すぐに業務活用できるビジネスユースケース集付きの安全な生成AIアプリ実装
Created
2023-08-17
1,291 commits to main branch, last one a day ago
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Created
2021-11-23
175 commits to main branch, last one 3 months ago
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Created
2019-10-02
490 commits to master branch, last one 11 days ago
Training deep learning models on AWS and GCP instances
Created
2017-10-30
349 commits to dev branch, last one 2 years ago
LLMs and Machine Learning done easily
Created
2018-03-03
624 commits to main branch, last one 9 months ago
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Created
2021-10-15
646 commits to main branch, last one 7 days ago
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Created
2019-05-20
157 commits to master branch, last one about a year ago
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Created
2021-10-01
50 commits to main branch, last one 2 years ago
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Created
2023-09-14
884 commits to main branch, last one 2 days ago
A Spark library for Amazon SageMaker.
Created
2017-11-16
129 commits to master branch, last one about a month ago
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Created
2019-05-17
37 commits to master branch, last one 2 months ago
Library for automatic retraining and continual learning
Created
2022-10-26
261 commits to main branch, last one 5 months ago
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Created
2018-01-23
254 commits to tf-2 branch, last one 2 years ago
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Created
2018-09-10
1,516 commits to master branch, last one a day ago
Amazon SageMaker Local Mode Examples
Created
2020-11-05
382 commits to main branch, last one 4 months ago
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Created
2022-10-14
322 commits to main branch, last one 22 days ago
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Created
2024-01-09
1,315 commits to main branch, last one 3 days ago
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from...
This repository has been archived
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Created
2021-03-11
231 commits to main branch, last one about a year ago
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
Created
2018-03-01
266 commits to master branch, last one about a year ago
Joining the modern data stack with the modern ML stack
Created
2022-04-13
21 commits to main branch, last one about a year ago
Become a Certified Unicorn Developer and Participant in the API Token Economy
Created
2021-01-18
199 commits to main branch, last one 2 years ago
AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
Created
2018-01-27
549 commits to master branch, last one 10 months ago
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
Created
2017-12-18
1,282 commits to master branch, last one 3 years ago
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Created
2019-11-18
818 commits to master branch, last one about a year ago