saikat-roy

cv-clean

A Clean Latex CV Template for Grads

Vision-Systems-Lab

MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)

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

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)

Deep-MI.github.io

Deep Medical Imaging Lab Webpage

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

elephas

Distributed Deep learning with Keras & Spark

MA-INF-4223-DBDA-Lab

Repository for Lab “Distributed Big Data Analytics” (MA-INF 4223), University of Bonn

misc

Miscellaneous Code from different places

nnUNet

SegLoss

A collection of loss functions for medical image segmentation

TNN1718

Some of my code from the lecture TNN at the University of Bonn (WS 17/18)

torch_ops

Random PyTorch ops that I happened to create. Currently: n-D tensor patch extractor. TODO: majority vote downsample for tensors.

ToxicComments_Kaggle

Solutions to the Toxic Comments on Kaggle