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Analyze the performance of 7 optimizers by varying their learning rates
ADAM - A Question Answering System. Inspired from IBM Watson
This is a repo for my master thesis research about the Fusion of Visual SLAM and GPS. It contains the research paper, code and other interesting data.
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Toy implementations of some popular ML optimizers using Python/JAX
[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
An image segmentation project using PyTorch to segment the Left Atrium in 3D Late gadolinium enhanced - cardiac MR images of the human heart.
Deep learning based cardiac segmentation
Predict a bounding box around the heart in X-ray images.
Novel Deep Neural Network for Sophisticated Cardiac Segmentation - SOTA. Published in MAPR 2024 and IEEE