A generic biosignal learning framework. Large EEG pre-trained models.

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Stable Diffusion web UI

Source code for self-supervised EEG data transfer learning

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

Message Passing Neural Networks for Molecule Property Prediction

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

A Keras implementation of YOLOv3 (Tensorflow backend)

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Simple HTTP and REST client for Ruby, inspired by microframework syntax for specifying actions.