A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss
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Updated
Apr 17, 2019 - Python
A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss
Litz Wire Homogenization with COMSOL and MATLAB
Litz Wire Losses with FEM and MATLAB
Train Faster and Boost Performance with Class Hierarchies. Build Robust Representations Less Prone to Serious Classification Errors. - PyTorch code for paper: "A Hierarchical Loss for Semantic Segmentation" VISAPP/VISIGRAPP 2020
Distribution of Network Losses Between Generator-Load Pairs in Distribution Networks With DG
Both Mocular depth and Segmentation from single DNN using Pytorch
Work involving multiple losses for ordinal classification
MATLAB Code for Extracting Resistance/Inductance Matrices
Watch actual russian army losses from the console or generate as image.
Sorting Soiled Solar Panel Dataset According to losses and Clean/Unclean
A tracker app for trading in Star Citizen. It will display net gain and losses and allow you to track your earnings in games as well as other features in the future
FFT Volume Integral for Non-linear Super Conductors
Tool for basic stock activity (buy/sell) munging. Wash sales, and capital gains/losses output to CSV.
Creating a Python script for analyzing the financial records of a company.
Comparison of SMA and EMA gains on 1D timeframe
This is a baseline tooling model for gans on TF2.0
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