Quick and dirty implementation of Residual Networks
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Updated
Feb 14, 2018 - Python
Quick and dirty implementation of Residual Networks
Convolutional Neural Net implementation using pytorch for CS7GV1
resolving the trace network generation by using deep learning
A squeeze-and-excitation enabled ResNet for image classification
World's best Boerewors image classifier, built with ResNets and Transfer Learning.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
Breast Cancer Detection through Mammograms
Based on https://blog.csdn.net/sunqiande88/article/details/80100891, I made some modification.
Basic reference for Multi View Classification - mvcnn
FPL'19 Demo - Splitted Network on Collaborative PYNQ FPGAs
10 class classification on dataset similar to Fashion-MNIST https://github.com/zalandoresearch/fashion-mnist
Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning, Astronomical Journal, 159
Segmentation using DroneDeploy Machine Learning Benchmark
Source code for the project OOD Detection of COVID-19 From Chest X-Ray Images, written as part of the KTH course DD2424, Deep Learning in Data Science:
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.
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