Pinned Repositories
MedNeXt
MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).
Adv-DL-for-Graphics
Autoencoders, DCGANs: Advanced Deep Learning for Graphics course (SS 2020)
BanglaCharacterRecognition
Supervised Layerwise Training modules
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
cv-clean
A Clean Latex CV Template for Grads
DataAnalytics_SS18
Some work from the Data Analytics and Visualization Project at the University of Bonn (SS 2018)
Deep-Convolutional-GAN
DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)
Vision-Systems-Lab
MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)
saikat-roy's Repositories
saikat-roy/cv-clean
A Clean Latex CV Template for Grads
saikat-roy/Vision-Systems-Lab
MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)
saikat-roy/Adv-DL-for-Graphics
Autoencoders, DCGANs: Advanced Deep Learning for Graphics course (SS 2020)
saikat-roy/BanglaCharacterRecognition
Supervised Layerwise Training modules
saikat-roy/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
saikat-roy/DataAnalytics_SS18
Some work from the Data Analytics and Visualization Project at the University of Bonn (SS 2018)
saikat-roy/Deep-Convolutional-GAN
DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)
saikat-roy/Deep-MI.github.io
Deep Medical Imaging Lab Webpage
saikat-roy/Uni-Bonn-Pattern-Recognition
Code from the Pattern Recognition (1) at University of Bonn (SS 19): Normal Distribution fitting, MLE, Fractal Dimensions, Bayesian Regression NN, kDTrees, k-mean & spectral clustering, PCA, LDA
saikat-roy/elephas
Distributed Deep learning with Keras & Spark
saikat-roy/MA-INF-4223-DBDA-Lab
Repository for Lab “Distributed Big Data Analytics” (MA-INF 4223), University of Bonn
saikat-roy/misc
Miscellaneous Code from different places
saikat-roy/nnUNet
saikat-roy/SegLoss
A collection of loss functions for medical image segmentation
saikat-roy/TNN1718
Some of my code from the lecture TNN at the University of Bonn (WS 17/18)
saikat-roy/torch_ops
Random PyTorch ops that I happened to create. Currently: n-D tensor patch extractor. TODO: majority vote downsample for tensors.
saikat-roy/ToxicComments_Kaggle
Solutions to the Toxic Comments on Kaggle