ageron /
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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HachemiIbrahim / repository
A deep learning learning repository , built for learning and experimenting with neural networks, computer vision . Contains Jupyter notebooks, model implementations, and practice projects to understand the fundamentals of deep learning using PyTorch .
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This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
This repository is dedicated to learning and experimenting with Deep Learning concepts. It contains tutorials, practice notebooks, and small projects that cover the basics of neural networks, computer vision .
Make sure you have the following installed:
Install dependencies:
pip install -r requirements.txt
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ageron /
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
90/100 healthageron /
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
85/100 healthDeqianBai /
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
74/100 healthkochgroup /
A collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
73/100 healthpetronetto /
A container for Deep Learning with Python 3
61/100 health