Roger Trullo

Numerical Computation of Receptive Field in Pytorch

convolutional lstm implementation in pytorch

These are my solutions to the assignments of the probabilistic graphical models class offered by coursera

Gated PixelCNN implementation in pytorch

Labs for MIT 6.S184/6.S975, IAP 2025

Here I post a code for doing segmentation in medical images using tensorflow

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Patchmatch 3D of the Remy's paper for segmentation of medical Images

:house_with_garden: Open source home automation that puts local control and privacy first.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

implementation of VQVAE in pytorch

Surface Segmentation I'll include registration, and surface evolution using simpleitk and vtk for python

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Bayesian Methods for Machine Learning

These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition

Add curtain and sync modes to OpenSeadragon.

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

Build a Jekyll blog in minutes, without touching the command line.

Don't mix, match! Simple utilities for improved registration of Histopathology Whole Slide Images.

Winners of the TissueNet: Detect Lesions in Cervical Biopsies competition

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

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Python Implementation of Reinforcement Learning: An Introduction

medical image segmentation of CT scans

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Fully-connected (dense) 3D CRF for processing biomedical scans