Kumar Neelabh's repositories
machine-learning
Notebooks created as part of Coding Ninjas' Machine Learning course.
Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
clip4str
An implementation of "CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model".
CorrCA
Correlated Components Analysis (CorrCA) written in Python based on the original Matlab code from Parra's Lab.
course-content
NMA Computational Neuroscience course
curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
datahack
Analytics Vidhya DataHack : Customer Attritoin
dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
gensim
Topic Modelling for Humans
grad-cam
IIT Bombay Summer Intern Project
hello-world
Hello, World!
kumar-neelabh.github.io
Personal academic page, forked from academicpages/academicpages.github.io.
mantel
Python implementation of the Mantel test, a significance test of the correlation between two distance matrices
models
Models and examples built with TensorFlow
monkey-net
Animating Arbitrary Objects via Deep Motion Transfer
patchwork
All the Git-it Workshop completers!
Research-Starter-Kit
Basically listing out how to get some basic logistics out of the way
soundsig
BioSound and other Sound Signal Processing routines.
Speech-Recognition-with-RNN-Neural-Networks
Voice Recognition with RNN Neural Networks