NannyML/nannyml

nannyml: post-deployment data science in python

data-analysisdata-driftdata-sciencedeep-learningjupyter-notebookmachine-learningmachinelearningmlmlopsmodel-monitoring

License & maintenance

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

Last code push 15 months ago.

	Repository	Stars	Language	License	Activity
1	aws/amazon-sagemaker-examplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.	★ 11k	Jupyter Notebook	Apache-2.0	Active
2	GokuMohandas/Made-With-MLLearn how to develop, deploy and iterate on production-grade ML applications.	★ 49.8k	Jupyter Notebook	MIT	Slowing
3	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Active
4	gradio-app/gradioBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!	★ 43.8k	Python	Apache-2.0	Active
5	lutzroeder/netronVisualizer for neural network, deep learning and machine learning models	★ 33.6k	JavaScript	MIT	Active
6	ageron/handson-ml⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.	★ 25.6k	Jupyter Notebook	Apache-2.0	Slowing
7	visenger/awesome-mlopsA curated list of references for MLOps	★ 14.2k	—	—	Stale
8	tangyudi/Ai-Learn人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data	★ 13.4k	—	—	Stale