Transformer based on a variant of attention that is linear complexity in respect to sequence length

A Reinforcement Learning framework for the NAO robot

An implementation of local windowed attention for language modeling

Reformer, the efficient Transformer, in Pytorch

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

A2C training of Relational Deep Reinforcement Learning Architecture

A model that can predict the weather from each street in the metropolitan zone of Monterrey

artificial intelligence based on lstm that generates names based on a specific language

Primordial-Particle-System

"Source code" for this video: https://www.youtube.com/watch?v=a0EyfdQ0QTQ I'm only adding 1 file here bc I didn't actually code that much.

The first neural network I've ever made to improve itself with gradient descent, made on Nov. 20, 2016

This is my old evolution simulator from July 2016. I guess that's not THAT long ago...

Ai that learn from genetic algoritms using neural networks

an Ai that laern to play 2048 with genetic algorithms and neural networks

An Ai that solve mazes with the model pix2pix

RedPullmonarNeumonica Avril Ruiz, Daniel Salinas, Felipe Félix, Iván Romero

A AI that try to learn to solve an Maze