Researcher working in machine learning models applied to imaging analysis tasks
pytorch_convlstm. convolutional lstm implementation in pytorch
160Receptive-Field-in-Pytorch. Numerical Computation of Receptive Field in Pytorch
62tensorflow_medical_images_segmentation. Here I post a code for doing segmentation in medical images using tensorflow
21Gated-PixelCNN-Pytorch. Gated PixelCNN implementation in pytorch
8Bayesian-Methods-for-Machine-Learning. Bayesian Methods for Machine Learning
7PGM_solutions. These are my solutions to the assignments of the probabilistic graphical models class offered by coursera
6pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration
6Convolutional-Neural-Networks-in-python. These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition
5Surface_Segmentation. Surface Segmentation I'll include registration, and surface evolution using simpleitk and vtk for python
2VQVAE_Pytorch. implementation of VQVAE in pytorch
2Patchmatch3D. Patchmatch 3D of the Remy's paper for segmentation of medical Images
1Patchmatch. Patchmat implementation original paper
1incubator_proposal. medical image segmentation of CT scans
1