GokuMohandas/mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

data-engineeringdata-qualitydata-sciencedeep-learningdistributed-mlllmsmachine-learningmlopsnatural-language-processingpython

License & maintenance

MIT is a permissive license: free to use commercially with attribution.

Last code push 2 years 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
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4	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Active
5	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Active
6	explosion/spaCy💫 Industrial-strength Natural Language Processing (NLP) in Python	★ 34k	Python	MIT	Active
7	Lightning-AI/pytorch-lightningPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.	★ 31.4k	Python	Apache-2.0	Active
8	fastai/fastbookThe fastai book, published as Jupyter Notebooks	★ 25.4k	Jupyter Notebook	Other	Active