-
USP
- Brazil
-
04:06
(UTC -03:00) - https://rodrigovimieiro.github.io
Block or Report
Block or report rodrigovimieiro
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLists (1)
Sort Name ascending (A-Z)
Stars
Language
Sort by: Recently starred
Little console app to run an ONNX model through ONNX Runtime via the DirectML execution provider.
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python API and fully integrated with PyTorch
gpt-4o for windows, macos and linux
YOLOv10: Real-Time End-to-End Object Detection
Official implementation of SAM-Med2D
Geometric Computer Vision Library for Spatial AI
A prototype an algorithm to calibrate the CBCT geometry
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Making large AI models cheaper, faster and more accessible
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.
tracking medical datasets, with a focus on medical imaging
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
GUI for 2AFC and other image evaluation tests
Computational method to perform the artificial insertion of microcalcifications in normal mammograms
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A latent text-to-image diffusion model
awesome image and video denoising, state of the art networks
A collection of loss functions for medical image segmentation
Synchronized Batch Normalization implementation in PyTorch.