mrdbourke/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

datadata-sciencedeep-learningmachine-learning

Licencia y mantenimiento

MIT es una licencia permisiva: uso comercial libre con atribución.

Último cambio de código hace 3 años.

	Repositorio	Estrellas	Lenguaje	Licencia	Actividad
1	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Activo
2	GokuMohandas/Made-With-MLLearn how to develop, deploy and iterate on production-grade ML applications.	★ 49.8k	Jupyter Notebook	MIT	Menos activo
3	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Activo
4	gradio-app/gradioBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!	★ 43.8k	Python	Apache-2.0	Activo
5	explosion/spaCy💫 Industrial-strength Natural Language Processing (NLP) in Python	★ 34k	Python	MIT	Activo
6	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	Sin cambios
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	Activo
8	eugeneyan/applied-ml📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.	★ 30.6k	—	MIT	Sin cambios