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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.

frequency_generator

hrithiknambiar

jeta

A Jax based meta learning library

keras-cv

Industry-strength Computer Vision workflows with Keras

learning-optimal-transport

machine-learning-using-python

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

missing-value-estimation-in-gene-microarray

mlpack

mlpack: a scalable C++ machine learning library --

models-using-tensorflow-2.0

neuronal-dynamics

From single neurons to networks and models of cognition and beyond.

otml_statlearn2018

Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018

out-of-distribution-detection-for-skin-lesion-classification

Deep Learning (CS F425): Course Project

pot

POT : Python Optimal Transport

pytorchot

implements optimal transport algorithms in pytorch

reddit-flair-classification

saidl-summer-assignment-2020

summer-induction-assignment-2020

Repository for SAiDL Summer Assignment 2020

topomodelx

Topological Deep Learning

vformer

A PyTorch library for Vision Transformers

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.

watson-openscale-samples

Watson Openscale sample assets, notebooks and apps.