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#

amazon-sagemaker-lab

Here are 24 public repositories matching this topic...

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 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.

  • UpdatedNov 16, 2025
  • Python

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

  • UpdatedAug 24, 2024
  • Jupyter Notebook

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

  • UpdatedDec 15, 2025
  • Jupyter Notebook

機械学習帳を学ぶノート

  • UpdatedDec 25, 2022
  • Jupyter Notebook

SageMaker Studio Labの教材を紹介するリポジトリ。

  • UpdatedMay 15, 2024

Satellite Vu submission for the AWS Disaster Response hackathon

  • UpdatedApr 12, 2022
  • Jupyter Notebook

@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.

  • UpdatedOct 30, 2022
  • Jupyter Notebook

Data science project template

  • UpdatedDec 8, 2022
  • Jupyter Notebook

A disaster response solution that helps allocate resources to where they're needed.

  • UpdatedJun 14, 2022
  • Jupyter Notebook
  • UpdatedApr 7, 2022
  • Jupyter Notebook

template for duplicating and executing Hugging Face Spaces either on SM Studio Lab, Google Colab, or locally.

  • UpdatedJan 9, 2023
  • Jupyter Notebook

Machine Learning for ESG evaluation

  • UpdatedJun 10, 2022
  • Jupyter Notebook
  • UpdatedMay 5, 2022
  • Jupyter Notebook
  • UpdatedApr 7, 2022
  • Jupyter Notebook

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