Topic: sagemaker Goto Github
Some thing interesting about sagemaker
Some thing interesting about sagemaker
sagemaker,Amazon SageMaker Local Mode Examples
Organization: aws-samples
sagemaker,MLOps workshop with Amazon SageMaker
Organization: aws-samples
sagemaker,A curated list of references for Amazon SageMaker
Organization: aws-samples
sagemaker,A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Organization: aws-samples
sagemaker,A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
Organization: aws-samples
Home Page: https://aws-samples.github.io/aws-genai-llm-chatbot/
sagemaker,Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
Organization: aws-samples
sagemaker,SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
Organization: aws-samples
sagemaker,Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.
Organization: aws-samples
sagemaker,Generative AI を活用したビジネスユースケースのデモンストレーション
Organization: aws-samples
sagemaker,Hands-on demonstrations for data scientists exploring Amazon SageMaker
Organization: aws-samples
sagemaker,Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
Organization: aws-samples
sagemaker,A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Organization: aws-samples
sagemaker,This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
Organization: aws-samples
sagemaker,Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Organization: aws
Home Page: https://sagemaker-examples.readthedocs.io
sagemaker,Amazon SageMaker operator for Kubernetes
Organization: aws
Home Page: https://docs.aws.amazon.com/sagemaker/latest/dg/kubernetes-sagemaker-operators.html
sagemaker,AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Organization: aws
sagemaker,A set of Docker images that include popular frameworks for machine learning, data science and visualization.
Organization: aws
sagemaker,Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Organization: aws
sagemaker,A library for training and deploying machine learning models on Amazon SageMaker
Organization: aws
Home Page: https://sagemaker.readthedocs.io/
sagemaker,A Spark library for Amazon SageMaker.
Organization: aws
Home Page: https://aws.github.io/sagemaker-spark/
sagemaker,Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Organization: aws
sagemaker,Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Organization: aws
sagemaker,This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Organization: aws
sagemaker,Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Organization: aws
Home Page: https://studiolab.sagemaker.aws
sagemaker,Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Organization: awslabs
sagemaker,AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Organization: awslabs
Home Page: https://awslabs.github.io/generative-ai-cdk-constructs/
sagemaker,Probabilistic time series modeling in Python
Organization: awslabs
Home Page: https://ts.gluon.ai
sagemaker,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 tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Organization: awslabs
Home Page: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/
sagemaker,Library for automatic retraining and continual learning
Organization: awslabs
Home Page: https://renate.readthedocs.io
sagemaker,Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Organization: awslabs
sagemaker,Amazon SageMaker Solution for explaining credit decisions.
Organization: awslabs
sagemaker,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
sagemaker,
User: darwaishx
sagemaker,Projects developed by Domino's R&D team
Organization: dominodatalab
sagemaker,3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
User: gudongfeng
sagemaker,Joining the modern data stack with the modern ML stack
User: jacopotagliabue
sagemaker,SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.
User: jonrau1
sagemaker,LLMs and Machine Learning done easily
Organization: kenza-ai
Home Page: https://kenza-ai.github.io/sagify/
sagemaker,AWS for Bioinformatics Researchers
User: lynnlangit
sagemaker,AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
User: lynnlangit
Home Page: https://www.linkedin.com/learning/instructors/lynn-langit
sagemaker,Become a Certified Unicorn Developer and Participant in the API Token Economy
Organization: panacloud
sagemaker,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
User: rubenszimbres
sagemaker,The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.
Organization: run-house
Home Page: https://run.house
sagemaker,A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)
User: sauravjoshi23
sagemaker, Udacity AWS ML Foundations Scholarship Course Walkthrough
User: shivansh2407
sagemaker,Training deep learning models on AWS and GCP instances
Organization: spotty-cloud
Home Page: https://spotty.cloud
sagemaker,Generating Cat images using StyleGAN
User: t04glovern
Home Page: https://thesecatsdonotexist.com/
sagemaker,Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Organization: thoughtworks
sagemaker,Build and deploy a serverless data pipeline on AWS with no effort.
User: vincentclaes
Home Page: https://pypi.org/project/datajob/
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