Popular GitHub Repositories for Sagemaker

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Probabilistic time series modeling in Python

A library for training and deploying machine learning models on Amazon SageMaker

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ?25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ? Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

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

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.

Distribute and run AI workloads magically in Python, like PyTorch for ML infra.

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

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

LLMs and Machine Learning done easily

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Serve machine learning models within a ? Docker container using ? Amazon SageMaker.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

A Spark library for Amazon SageMaker.

Library for automatic retraining and continual learning