Train and deploy ML models in a multicloud environment using Amazon SageMaker | Amazon Web Services
Source Node: 1892055
Time Stamp: Sep 20, 2023
Torchvision
Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services
Source Node: 1876276
Time Stamp: Aug 16, 2023
Access private repos using the @remote decorator for Amazon SageMaker training workloads | Amazon Web Services
Source Node: 1858779
Time Stamp: Jul 11, 2023
AWS Inferentia2 builds on AWS Inferentia1 by delivering 4x higher throughput and 10x lower latency | Amazon Web Services
Source Node: 1848251
Time Stamp: Jun 13, 2023
Host ML models on Amazon SageMaker using Triton: ONNX Models | Amazon Web Services
Source Node: 1846171
Time Stamp: Jun 9, 2023
Scale your machine learning workloads on Amazon ECS powered by AWS Trainium instances | Amazon Web Services
Source Node: 1842480
Time Stamp: May 31, 2023
Optimized PyTorch 2.0 inference with AWS Graviton processors
Source Node: 1833186
Time Stamp: May 3, 2023
How to extend the functionality of AWS Trainium with custom operators
Source Node: 1830000
Time Stamp: Apr 27, 2023
Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service
Source Node: 1822302
Time Stamp: Apr 5, 2023
Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints
Source Node: 1811060
Time Stamp: Mar 7, 2023
Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
Source Node: 1786992
Time Stamp: Jan 13, 2023
Pose Estimation/Keypoint Detection with YOLOv7 in Python
Source Node: 1669663
Time Stamp: Sep 2, 2022
A sneak peek at TorchVision v0.11 – Memoirs of a TorchVision developer – 2
Source Node: 1784126
Time Stamp: Oct 10, 2021
