Bhargav Srinivasa Desikan

personal. Contains Jupyter Notebooks of stuff I am working on.

pycobra. python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

CASApythonPort. Python code that implements the DUET blind source separation algorithm. Converted from the MATLAB code from here - https://github.com/yvesx/casa495

thinking-deep-learning-tutorial. Repo for material and instructions for the Thinking with Deep Learning tutorial.

audioData. Few python scripts to help with Speech Recognition problems, such as metadata of sound files and identifying pauses in audio files.

thinking-with-deep-learning. Code, material and resources for Thinking with Deep Learning

x2vec. python package for embedding a variety of data structures (words, networks, categorical and tabular data), and methods for integrating and exploring high dimensional spaces.

Content-Analysis-2020. Assignments for Computational Content Analysis 2020

WikiArtVectors. Repository for the WikiArtVectors dataset, where we provide style and color representations for 68094 artworks from the WikiArt Dataset.

gensim. Topic Modelling for Humans

IC2S2-TDL-tutorial. Tutorial and instructions for Thinking with Deep Learning Tutorial 2024

knowledge-economy-diversity. Jupyter Notebook

bhargavvader.github.io. Personal website of me, Bhargav Srinivasa Desikan.

Deedy-Resume. A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

CMFS-Feature-Selection. Implementation of the CMFS algorithm for feature selection

WhatsApp_Analysis. Trying to analyse trends in WhatsApp conversations and do basic sentiment analysis.

cv-color-perception. Tests of color perception in computer vision algorithms.