saikat-roy Goto Github PK

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)

deep-mi.github.io

Deep Medical Imaging Lab Webpage

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

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

vision-systems-lab

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