thad75/Tutorial-ELEVE

This repository contains AI Labs given to ENSEA SIA M2 Student and M1 Students. These labs broadly introduce the world of Deep Learning and their applications. I wrote them as a broad introduction to multiple AI Frameworks.

27
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 13 / 25

How are scores calculated?

Stars

9

Forks

2

Language

Jupyter Notebook

License

MIT

Category

deep-learning-textbooks

Last pushed

Feb 10, 2025

Commits (30d)

0

GitHub
Deep Learning Textbooks · 221 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/thad75/Tutorial-ELEVE"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

PaddlePaddle/Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice...

100

fastai/fastai

The fastai deep learning library

88

openvinotoolkit/openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

76

mryab/efficient-dl-systems

Efficient Deep Learning Systems course materials (HSE, YSDA)

69

msuzen/bristol

Parallel random matrix tools and complexity for deep learning

67

Explore ML Frameworks

All categories Trending ML Framework directory Insights