Pinned Repositories
code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
COVID-19-Cough-Detection
An SVM-based model which can recognize COVID coughs using short audio cough recordings. An attempt at the INTERSPEECH 2021 Computational Paralinguistics Sub-Challenge.
Data-Analysis-using-python
evis
A utility Python library for event-based vision
Facial-key-point-detection
A ResNet model which detects important facial key points in images. Facial key-point detection plays a pivotal role in tasks such as Emotion Analysis.
Learning-Optimal-transport
Neuronal-Dynamics
From single neurons to networks and models of cognition and beyond.
Out-of-Distribution-Detection-for-Skin-Lesion-Classification
Deep Learning (CS F425): Course Project
Reddit-flair-classification
Visual-Hierarchy-based-fMRI-decoding
Is it possible to classify images using the fMRI responses to an image stimulus? Is the fMRI BOLD data a better representation for a classification task than the image stimulus itself? We answer these questions in this study.
HrithikNambiar's Repositories
HrithikNambiar/COVID-19-Cough-Detection
An SVM-based model which can recognize COVID coughs using short audio cough recordings. An attempt at the INTERSPEECH 2021 Computational Paralinguistics Sub-Challenge.
HrithikNambiar/Neuronal-Dynamics
From single neurons to networks and models of cognition and beyond.
HrithikNambiar/Out-of-Distribution-Detection-for-Skin-Lesion-Classification
Deep Learning (CS F425): Course Project
HrithikNambiar/Reddit-flair-classification
HrithikNambiar/Facial-key-point-detection
A ResNet model which detects important facial key points in images. Facial key-point detection plays a pivotal role in tasks such as Emotion Analysis.
HrithikNambiar/Learning-Optimal-transport
HrithikNambiar/Visual-Hierarchy-based-fMRI-decoding
Is it possible to classify images using the fMRI responses to an image stimulus? Is the fMRI BOLD data a better representation for a classification task than the image stimulus itself? We answer these questions in this study.
HrithikNambiar/code-soup
This is a collection of algorithms and approaches used in the book adversarial deep learning
HrithikNambiar/Data-Analysis-using-python
HrithikNambiar/evis
A utility Python library for event-based vision
HrithikNambiar/FREQUENCY_GENERATOR
HrithikNambiar/HrithikNambiar
HrithikNambiar/HrithikNambiar.github.io
HrithikNambiar/jeta
A Jax based meta learning library
HrithikNambiar/keras-cv
Industry-strength Computer Vision workflows with Keras
HrithikNambiar/Machine-Learning-using-python
HrithikNambiar/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
HrithikNambiar/Missing-value-Estimation-in-Gene-Microarray
HrithikNambiar/mlpack
mlpack: a scalable C++ machine learning library --
HrithikNambiar/Models-using-Tensorflow-2.0
HrithikNambiar/OTML_Statlearn2018
Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
HrithikNambiar/POT
POT : Python Optimal Transport
HrithikNambiar/PyTorchOT
implements optimal transport algorithms in pytorch
HrithikNambiar/SAiDL-Summer-Assignment-2020
HrithikNambiar/Summer-Induction-Assignment-2020
Repository for SAiDL Summer Assignment 2020
HrithikNambiar/TopoModelX
Topological Deep Learning
HrithikNambiar/vformer
A PyTorch library for Vision Transformers
HrithikNambiar/watson-openscale-samples
Watson Openscale sample assets, notebooks and apps.