84 results found Sort:

6.8k
10.1k
apache-2.0
267
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Created 2017-10-23
3,144 commits to default branch, last one 2 days ago
752
4.6k
apache-2.0
76
Probabilistic time series modeling in Python
Created 2019-05-15
1,478 commits to dev branch, last one a day ago
1.1k
2.1k
apache-2.0
137
A library for training and deploying machine learning models on Amazon SageMaker
Created 2017-11-14
3,879 commits to master branch, last one a day 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
627 commits to main branch, last one 6 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
3,003 commits to master branch, last one a day ago
37
972
apache-2.0
9
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
1,831 commits to main branch, last one 12 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
1,253 commits to main branch, last one 19 hours ago
191
648
apache-2.0
21
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 2 months ago
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Created 2019-10-02
483 commits to master branch, last one about a month ago
Training deep learning models on AWS and GCP instances
Created 2017-10-30
349 commits to dev branch, last one 2 years ago
69
434
mit
18
LLMs and Machine Learning done easily
Created 2018-03-03
624 commits to main branch, last one 8 months ago
51
389
apache-2.0
12
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Created 2021-10-15
638 commits to main branch, last one 14 hours 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 about a year ago
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Created 2023-09-14
835 commits to main branch, last one 15 hours ago
128
300
apache-2.0
54
A Spark library for Amazon SageMaker.
Created 2017-11-16
128 commits to master branch, last one 8 months 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 about a month ago
7
279
apache-2.0
11
Library for automatic retraining and continual learning
Created 2022-10-26
261 commits to main branch, last one 4 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 about a year ago
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Created 2018-09-10
1,477 commits to master branch, last one 7 days ago
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Created 2022-10-14
316 commits to main branch, last one about a month 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 (exclude archived)
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
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
1,129 commits to main branch, last one 11 hours 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 8 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 2 years ago
83
161
apache-2.0
25
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