A collection of various deep learning architectures, models, and tips

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graph convolutional neural network for multirelational link prediction

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)