shriram-gunasekar,shriramg,github

amtdc-nlp-ontology

AMTDC Research - Knowledge Graph Project With Django, Neo4j and NLP with Spacy and BERT Models

ascii-image-classifier

Convert image data to ASCII and then proceed to classifying the images using NLP algorithms

bank-churn-modelling

Modelling customer churn in banks

cache-ml

An Machine Learning based implementations of caching method using python

carlemann-linearization

Carleman linearization in python for risk management, portfolio optimization etc.

cses-dsa

My solution to CSES problems : https://cses.fi/ : Work in progress

csrc-ctdt-nlp-pedagogy

Sponsored project by CSRC for design and Implementation of compressed BERT Models for a NLP Pedagogy tool

decision-tree-split-measures

A compilation of not so frequently used impurity measures for Decision Trees (In Progress)

dynsys-finance

Implementations of Methods using Dynamical Systems in Finance such as Martingales, Merton KMV, Isoclines, Black Scholes etc.

ensemble-neuralnets

A collection of my ensemble neural network architectures

ergodic-ds

Ergodic theory methods and implementations with relevance to Data Science

$fractal-decision-tree icon$ fractal-decision-tree

Fractals based impurity measure used in spitting for a decision tree implemented from scratch

g-algorithms

Selective advanced Implementations of Genetic Algorithms

geometric-optimization-ml

Geometric Optimization in Machine Learning in the spirit of Riemannian Statistics

hartley-autoencoder

Using the Hartley Transform, an involutional transformation operation as a novel activation function in autoencoders

home-credit-risk

Kaggle's home credit risk competition solution (ongoing)

hybridmetrics

Hybrid metrics that are customized metrics created using TorchMetrics.

hypercomplex-neuralnets

HyperComplex numbers based implementation of Neural Networks and their corresponding implementations

icr-age

ICR - Age Related Conditions - Private Score of 0.34 ( 1st place 0.30)

integral-neuralnets

Integral based update rules instead of differential calculus for framing loss functions and backprop in Neural Networks

mad-lib

A Library Management App - implemented with Flask, Vue.js, Redis and Celery.

misc-networks

Miscellaneous Neural Network Architectures such as Cognitron, Hopfields, Hebbs, Resonance Networks etc.

ml-workshop

Materials of a workshop conducted for junior AU students

neural-ode-imputation

Novel data imputation methods using Neural ODEs for time-series data

neuralnet-compressor

Neural Network Compression using Intel's Neural Compressor & Torch Prune from the PyTorch ecosystem

nm-ibm-alzheimers

Design of a Neural Network for classification of Alzheimer's Disease MRIs & Deployment

non-linear-observer-design

Non linear observer design template code for state-space systems

novozyme

Novozyme enzyme stability prediction data and code

obj-neuralnets

Neural Networks with vectors and spinors and clifford algebras in weights and biases

optimal-control-theory

Optimal Control Theory algorithms in dynamical systems

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