#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
翻译 - 示例笔记本示例展示了如何在Amazon SageMaker中应用机器学习，深度学习和强化学习
#计算机科学#Probabilistic time series modeling in Python
翻译 - Python中的概率时间序列建模
#计算机科学#A library for training and deploying machine learning models on Amazon SageMaker
翻译 - 用于在Amazon SageMaker上训练和部署机器学习模型的库
#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
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#The Runhouse Python client. Distribute and run AI workloads magically in Python, like PyTorch for ML infra.
#大语言模型#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
#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.
#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
#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#Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
#计算机科学#Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
#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.
#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.
#算法刷题#A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.