Pinned Repositories
convLSTM-autoencoder
Prototype for a convolutional autoencoder, not debugged yet.
deep-learning-image-similarity
Takes 2 images and says how similar they are based on Euclidean distance of feature vectors
dlvcnptel
Tutorials for DLVC NPTEL MOOC
DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
dvn
Reference implementation for Structured Prediction with Deep Value Networks
face-comparer
Neural net to compare human faces.
Fall2018-tutorials
Tutorials for Fall 2018
GAN_Colorizer
Using a GAN to colorize grayscaled images
HybridImageMatching
The Hybrid Image Matching (HIM) method that combines the deep learning approach with the feature point matching to image classification.
Sushmab27's Repositories
Sushmab27/convLSTM-autoencoder
Prototype for a convolutional autoencoder, not debugged yet.
Sushmab27/deep-learning-image-similarity
Takes 2 images and says how similar they are based on Euclidean distance of feature vectors
Sushmab27/dlvcnptel
Tutorials for DLVC NPTEL MOOC
Sushmab27/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Sushmab27/dvn
Reference implementation for Structured Prediction with Deep Value Networks
Sushmab27/face-comparer
Neural net to compare human faces.
Sushmab27/Fall2018-tutorials
Tutorials for Fall 2018
Sushmab27/GAN_Colorizer
Using a GAN to colorize grayscaled images
Sushmab27/HybridImageMatching
The Hybrid Image Matching (HIM) method that combines the deep learning approach with the feature point matching to image classification.
Sushmab27/Image-Classification-by-Keras-and-Tensorflow
Image Classification using Keras as well as Tensorflow.
Sushmab27/LungNet
This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks" M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou IEEE Journal of Biomedical and Health infomatics (2018)
Sushmab27/one-shot-mann
Tensorflow Implementation of One-Shot Learning with Memory Augmented Neural Network
Sushmab27/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Sushmab27/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Sushmab27/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
Sushmab27/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Sushmab27/SVM_Image_classification
Image classification using svm
Sushmab27/tensorflow
An Open Source Machine Learning Framework for Everyone
Sushmab27/tensorflow_demo
Tensorflow Demo for my TF in 5 Min Video on Youtube
Sushmab27/torch_DCEC
Pytorch Deep Clustering with Convolutional Autoencoders implementation
Sushmab27/unsupervised-image-clustering
An unsupervised image clustering algorithm that uses VGGNet for image transformation. Python, scikit-learn and tensorflow.
Sushmab27/vid_summ
Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder
Sushmab27/videoseg
[CVPR 2017] Video motion segmentation and tracking
Sushmab27/Weighted-Sparse-Coding-for-Video-Summarization
Codes for paper of "Spatial and Temporal Scoring for Egocentric Video Summarization"
Sushmab27/youtube-8m
Starter code for working with the YouTube-8M dataset.