Albert Villanova del Moral's repositories
actions-gh-pages
GitHub Actions for GitHub Pages 🚀 Deploy static files and publish your site easily. Static-Site-Generators-friendly.
captum
Model interpretability and understanding for PyTorch
clara-train-examples
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
colabtools
Python libraries for Google Colaboratory
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
fastai
The fastai deep learning library, plus lessons and tutorials
fastcore
Core functionality of fastai
fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
GANs-Public
Course notebooks for GANs specializations
gh-actions-commit
A GitHub Action that commits and pushes
ghapi
A delightful and complete interface to GitHub's amazing API
HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
invenio
Invenio digital library framework
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
molai
Molecule AI
multibooked
Basque and Catalan Aspect-level Annotated Hotel Reviews
nbdev
Create delightful python projects using Jupyter Notebooks
nbdev_colab
Utilizing nbdev in Google Colaboratory
NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
pycon-concurrency-tutorial-2020
Main repo of PyCon 2020 Tutorial
Python-Automation-Cookbook-Second-Edition
Python-Automation-Cookbook-Second-Edition, published by Packt
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
schema
Schema validation just got Pythonic
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorflow_datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
tensorflow_recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Tutorials
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.