Guille Montanari's repositories
awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-mlops
A curated list of references for MLOps
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
BigGANsAreWatching
Authors official implementation of "Big GANs Are Watching You" pre-print
cs-video-courses
List of Computer Science courses with video lectures.
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
Deep-Learning
Useful scripts for deep learning
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
dlaicourse
Notebooks for learning deep learning
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
Fashion-MNIST-csv
Fashion-MNIST-csv
fastbook
Draft of the fastai book
Graph_Powered_ML_Workshop
Material and Notebooks for ODSC 2020 workshop.
jupyter-dash
Develop Dash apps in the Jupyter Notebook and JupyterLab
machine-learning-for-physicists
Code for "Machine Learning for Physicists 2020" lecture series
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
model_validation_tutorial
Tutorial of machine learning model validation
nlp-fundamentals-python
Conference Talk: NLP Fundamentals in Python
tfjs-models
Pretrained models for TensorFlow.js
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.