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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
3,167 commits to default branch, last one about a month ago
Probabilistic time series modeling in Python
Created
2019-05-15
1,481 commits to dev branch, last one 16 days ago
A library for training and deploying machine learning models on Amazon SageMaker
Created
2017-11-14
4,150 commits to master branch, last one 21 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
641 commits to main branch, last one 2 months 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
3,203 commits to master branch, last one a day ago
Distribute and run AI workloads magically in Python, like PyTorch for ML infra.
Created
2022-05-10
2,223 commits to main branch, last one 21 days ago
Application implementation with business use cases for safely utilizing generative AI in business operations
Created
2023-08-17
1,383 commits to main branch, last one 13 hours 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 8 months ago
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Created
2019-10-02
496 commits to master branch, last one 2 months ago
Training deep learning models on AWS and GCP instances
Created
2017-10-30
349 commits to dev 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
1,027 commits to main branch, last one 23 hours ago
LLMs and Machine Learning done easily
Created
2018-03-03
624 commits to main branch, last one about a year ago
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Created
2021-10-15
669 commits to main branch, last one 6 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
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 6 months ago
A Spark library for Amazon SageMaker.
Created
2017-11-16
130 commits to master branch, last one about a month ago
Library for automatic retraining and continual learning
Created
2022-10-26
261 commits to main branch, last one 9 months ago
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Created
2018-09-10
1,670 commits to master branch, last one 8 hours 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
255 commits to tf-2 branch, last one 2 months ago
Amazon SageMaker Local Mode Examples
Created
2020-11-05
382 commits to main branch, last one 8 months ago
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Created
2022-10-14
331 commits to main branch, last one about a month 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
1,503 commits to main branch, last one 13 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...
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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
267 commits to master branch, last one 2 months 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 3 years ago
AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
Created
2018-01-27
549 commits to master branch, last one about a year 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
A curated list of references for Amazon SageMaker
Created
2022-07-27
151 commits to main branch, last one about a year ago