firmai/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

data-sciencedatascienceexamplefirmaijupyter-notebookmachine-learningpractical-machine-learningpython

License & maintenance

No license stated: by default nobody may reuse the code. Ask the authors before using it in a product.

Last code push 2 years ago.

	Repository	Stars	Language	License	Activity
1	scikit-learn/scikit-learnscikit-learn: machine learning in Python	★ 67.7k	Python	BSD-3-Clause	Active
2	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Active
3	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Active
4	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
5	ageron/handson-ml⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.	★ 25.6k	Jupyter Notebook	Apache-2.0	Slowing
6	fastai/fastbookThe fastai book, published as Jupyter Notebooks	★ 25.4k	Jupyter Notebook	Other	Active
7	trekhleb/homemade-machine-learning🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained	★ 24.8k	Jupyter Notebook	MIT	Slowing
8	marimo-team/marimoA reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git.	★ 23.2k	Python	Apache-2.0	Active