amazon-sagemaker-lab
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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.
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Nov 16, 2025 - Python
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
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Aug 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
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Dec 15, 2025 - Jupyter Notebook
SageMaker Studio Labの教材を紹介するリポジトリ。
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May 15, 2024
Satellite Vu submission for the AWS Disaster Response hackathon
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Apr 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.
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Oct 30, 2022 - Jupyter Notebook
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Apr 4, 2022 - Jupyter Notebook
Data science project template
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Dec 8, 2022 - Jupyter Notebook
A disaster response solution that helps allocate resources to where they're needed.
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Jun 14, 2022 - Jupyter Notebook
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Apr 7, 2022 - Jupyter Notebook
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Apr 26, 2022 - Jupyter Notebook
template for duplicating and executing Hugging Face Spaces either on SM Studio Lab, Google Colab, or locally.
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Jan 9, 2023 - Jupyter Notebook
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May 2, 2022 - Jupyter Notebook
Machine Learning for ESG evaluation
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Jun 10, 2022 - Jupyter Notebook
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May 5, 2022 - Jupyter Notebook
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Apr 7, 2022 - Jupyter Notebook
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Apr 7, 2022 - Jupyter Notebook
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May 18, 2022 - Jupyter Notebook
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Apr 7, 2022 - Jupyter Notebook
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