42 skills found · Page 1 of 2
CnnDepth / Tx2 Fcnn NodeROS node for real-time FCNN depth reconstruction
fengyoung / Video EmbeddingImplement of Video Embedding based on Tensorflow, Inception-V3 & FCNN(Frames Supported Convolution Neural Network)
xcontcom / NeuroparticlesArtificial life. Particles driven by neural networks, fighting on a grid and evolving through genetic algorithms.
JCouture17 / Hybrid TransferComparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction
michelkana / Deep Learning ProjectsJupyter Notebooks with home-made FCNNs, RNNs, CNNs, GAMs models for Airbnb price rental prediction, galaxies classification, gravitational waves classification, named entity prediction, images classification, etc.
emredog / FCNN ExampleThis is a fully convolutional neural net exercise to detect houses from aerial images.
sinAshish / Rough Sketch Simplification Using FCNNThis is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
ishanrai05 / Rough Sketch Simplification Using FCNNThis repository contains code of the paper Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup in PyTorch
BinhangYuan / WaveletFCNNSource code and dataset for the paper ""
aniketkt / CTSegNetCTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
snudm-starlab / FCNNFlexible Convolutional Neural Network
jmhong-simulation / FCNNFully connected neural network example
mohawkduck / Perceptron JlJulia porting version of FCNN in Python and C++
Taib / Patch2imageTraining FCNNs from patches to full-sized images. A framework to train arbitrarily designed networks for medical image segmentation.
dwha / SimpleCudaNeuralNetConcise neural network with C++ and CUDA
josch14 / Double DescentDouble Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off) [Python/PyTorch]..
ERafaelMartinez / Energy Forecasting LSTM Vs FCNNComparison of LSTM models and FCNN on Energy forecasting project using ASHRAE's data base for the Great Energy Predictor III competition on Kaggle.
tridivb / Soccer Ball Detector With FCNN And ConvLSTMA Soccer Ball Detector using Fully Convolutional Neural Networks and ConvLSTM
mansipatel2508 / Stock Price Prediction Time Series With NNPredicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for regular NN given only today's data, observing and comparing time series for various models. Additionally finding best value for N previous days and bidirectional LSTM for experiments.
Akshat05-tech / OOK Modulation Over FSO Turbulent ChannelsDue to its low power consumption, high speed and high capacity, Free Space Optical (FSO) communication technology is recently gaining traction. The only hindrance in mass use of this technology is it struggles in turbulent atmosphere. Turbulent atmosphere causes scintillations, regardless of the modulation used. This project presents and compares 3 Deep Learning models for improving performance of OOK modulation over FSO channels. The 3 models are based on Artificial Neural Networks (ANN), Fully Connected Layers (FC) and Fully Convolutional Neural Networks (FCNN) respectively. The comparison among the 3 models is based on accuracy and time complexity
