Divya9Sasidharan
Currently pursuing my Masters in Digital Engineering from Otto Von GuerickeUniversity, Magdeburg,Germany (April2019 to present)
Otto Von Guericke UniversityGermany
Pinned Repositories
ComputerVision_DeepLearning_Project
In this project we are implementing deep convolutional models to classify Imagenette and Imagewoof datasets. Both the datasets are a subset of 10 easily classified classes from Imagenet. Imagenette is less complicated compared to Imagewoof.
Data-Science
Masters in Digital Engineering
Deep-Learning-Based-MRI-Data-Harmonization
Deep Learning-Based Magnetic Resonance Imaging (MRI) Data Harmonization
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepLearning
Introduction to Deep Learning Summer Semester 2020 OVGU
GAN
Introduction to GAN concepts
ICSE-Java-Programming-
MachineLearning_NLP
Genre Identification on (a sub-set of) Gutenberg Corpus
MedMeshCNN
Convolutional Neural Network for medical 3D meshes in PyTorch
Parts-_of_Speech_Tagging
Study on assigning the part of speech tags on different corpus (penntree,Genia and Conll) using Hidden Markov model (Unigram, Bigram and Trigram) with different feature (word,prefix,suffix) combination.
Divya9Sasidharan's Repositories
Divya9Sasidharan/MedMeshCNN
Convolutional Neural Network for medical 3D meshes in PyTorch
Divya9Sasidharan/ComputerVision_DeepLearning_Project
In this project we are implementing deep convolutional models to classify Imagenette and Imagewoof datasets. Both the datasets are a subset of 10 easily classified classes from Imagenet. Imagenette is less complicated compared to Imagewoof.
Divya9Sasidharan/Deep-Learning-Based-MRI-Data-Harmonization
Deep Learning-Based Magnetic Resonance Imaging (MRI) Data Harmonization
Divya9Sasidharan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Divya9Sasidharan/DeepLearning
Introduction to Deep Learning Summer Semester 2020 OVGU
Divya9Sasidharan/GAN
Introduction to GAN concepts
Divya9Sasidharan/MachineLearning_NLP
Genre Identification on (a sub-set of) Gutenberg Corpus
Divya9Sasidharan/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Divya9Sasidharan/Reinforcement_Learning
Repository for learning reinforcement learning algorithm in tensorflow/pytorch
Divya9Sasidharan/tensorflow-1-public
Divya9Sasidharan/Data-Science
Masters in Digital Engineering
Divya9Sasidharan/ICSE-Java-Programming-
Divya9Sasidharan/Parts-_of_Speech_Tagging
Study on assigning the part of speech tags on different corpus (penntree,Genia and Conll) using Hidden Markov model (Unigram, Bigram and Trigram) with different feature (word,prefix,suffix) combination.
Divya9Sasidharan/ComputerVision_DeepLearning_OpenCV
OpenCV for image processing
Divya9Sasidharan/MachineLearning-MusicGeneration
Using Azure Machine Learning to build a deep learning model for music generation
Divya9Sasidharan/MRI_Harmonization
Divya9Sasidharan/TensorFlowObjectDetectionTutorial
A tutorial on object detection using TensorFlow
Divya9Sasidharan/unet.pytorch
PyTorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing compatible with OpenVINO 2019 R1
Divya9Sasidharan/waymo-open-dataset
Waymo Open Dataset
Divya9Sasidharan/Waymo-open-dataset-document
The official document of the dataset is too general. There are many missing details. This document aims at making it more convenient to use the dataset.