aws/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awsdata-sciencedeep-learningexamplesinferencejupyter-notebookmachine-learningmlopsreinforcement-learningsagemaker

License & maintenance

Apache-2.0 is a permissive license: free to use commercially with attribution.

Last code push 4 days ago.

	Repository	Stars	Language	License	Activity
1	GokuMohandas/Made-With-MLLearn how to develop, deploy and iterate on production-grade ML applications.	★ 49.8k	Jupyter Notebook	MIT	Slowing
2	donnemartin/data-science-ipython-notebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HD	★ 29.4k	Python	Other	Stale
3	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Active
4	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Active
5	gradio-app/gradioBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!	★ 43.8k	Python	Apache-2.0	Active
6	deepspeedai/DeepSpeedDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.	★ 43.2k	Python	Apache-2.0	Active
7	explosion/spaCy💫 Industrial-strength Natural Language Processing (NLP) in Python	★ 34k	Python	MIT	Active
8	eriklindernoren/ML-From-ScratchMachine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aim	★ 33k	Python	MIT	Stale