Josue Ortega Caro's Projects
Python Implementation of the Adelson Motion Model (1985) based on George Mather Tutorial (http://www.georgemather.com/Model.html)
Entradas a mi blog (backup)
CCAs for looking into DNNs
Set up deep learning environment in a single command line.
A collection of notebooks demoing DataJoint features
Docker Files
A faster pytorch implementation of faster r-cnn
Trained model weights, training and evaluation code from the paper "Increasing the robustness of DNNs against image corruptions by playing the Game of Noise"
Fabric library for Docker GPU deployment
This project will produce a set of approaching object into the visual field of the camera using Blender Render
Data Science Portfolio
Models and examples built with TensorFlow
CUDA implementation of the Motion Energy model (Simoncelli & Heeger, 1998)
Code samples for my book "Neural Networks and Deep Learning"
Neuro Datasets for System Identification
Project Home repo for OpenWorm Wiki and Project-wide issues
Linear programming solver for paper-reviewer matching and mind-matching
This repo is an implementation of the paper "Learning long-range spatial dependencies with horizontal gated-recurrent units".
Perception Engines
This is project for Biomedical image classification
Aplicación para mostrar los proyectos de ley emitidos por el Congreso
Python Machine Learning code repository
Docker image for PyTorch based on nvidia/cuda images
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
code for "Riemannian Flow Matching on General Geometries".