sagemaker

#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

#计算机科学#Probabilistic time series modeling in Python

#计算机科学#A library for training and deploying machine learning models on Amazon SageMaker

#大语言模型#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

#大语言模型#Application implementation with business use cases for safely utilizing generative AI in business operations

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

#计算机科学#Distribute and run AI workloads magically in Python, like PyTorch for ML infra.

#计算机科学#Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

#计算机科学#Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

#大语言模型#AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

#计算机科学#Training deep learning models on AWS and GCP instances

#大语言模型#LLMs and Machine Learning done easily

#计算机科学#Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

#计算机科学#Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

#计算机科学#Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

#计算机科学#A Spark library for Amazon SageMaker.

#算法刷题#A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

#计算机科学#Library for automatic retraining and continual learning

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

#计算机科学#Amazon SageMaker Local Mode Examples