nisha1729

remove_duplicates

lottery-ticket

Prune deep neural networks to find sparse trainable networks, almost 10% the original size.

linux-conky

My linux conky files

hessian-regularizer-disentangle

This repository contains my original work of a novel Hessian regularizer for disentangling neural networks. This work was done as part of my master thesis in Computer Science at Saarland University.

2DGeometricShapesGenerator

2D Geometric shapes generator

Autoencoders-Variants

Pytorch implementations of various types of autoencoders

lstm-math

Neural network that solves math equations on the character level

Text-Classifier

Classify news into different categories using neural networks

Music-Genre-Classification

Using neural networks to classify music genre, feature extraction based on DSP

TGA-Resize

Code for TGA image resizing

PolyLaneNet

Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

loss-landscape

Code for visualizing the loss landscape of neural nets

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

backboned-unet

Build U-Nets for segmentation from pre-trained TorchVision models.

Image-Shadow-Detection-and-Removal