amazon-sagemaker-lab
There are 24 repositories under amazon-sagemaker-lab topic.
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆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.
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
aws-samples/aws-ml-enablement-workshop
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ
icoxfog417/mlnote-note
機械学習帳を学ぶノート
aws-sagemaker-jp/awesome-studio-lab-jp
SageMaker Studio Labの教材を紹介するリポジトリ。
SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon
Satellite Vu submission for the AWS Disaster Response hackathon
icoxfog417/datascience-template
Data science project template
SrzStephen/DisaVu
A disaster response solution that helps allocate resources to where they're needed.
Ashleshk/Practical-Data-Science-on-the-AWS-Cloud-Specialization
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
machinelearnear/open-hf-spaces-in-studiolab
template for duplicating and executing Hugging Face Spaces either on SM Studio Lab, Google Colab, or locally.
aws-samples/aws-esg-evaluation-handson
Machine Learning for ESG evaluation