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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Implementation of the paper: “NormVAE: Normative modeling on NeuroImaging data using Variational Autoencoders”. I trained the model with our own custom dataset of MCI/AD patient data from ADNI. Generated the deviation maps for studying how much the diseased brain region volumes deviate from that of Healthy Controls..
The project is based on the dataset I obtained from kaggle. The Analysis I am performing is on the ‘AXISBANK’ stock market data from 2019-2021.AXISBANK is one of the stocks listed in NIFTY50 index.
Page contains updates about my current research interests
Page contains my software projects and other open-source contributions
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This Notebook demonstrates modelling regression problems using Neural Networks with TensorFlow. Neural Networks can approximate non-linear relationships within dataset.They can be used for regression problems as well as classification problems.
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This post demonstrate the fundamental concepts in TensorFlow. TensorFlow is an end-to-end open souce Machine learning framework developed by Google. It can be used to implement complex deep learning models using inbuilt methods. It also blends very nicely with NumPy so we can use the Numpy Arrays in TensorFlow. This is one of the first post in the Deep learning with TensorFlow series.
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This notebook demonstrates, how to build a logistic regression classifier to recognize cats. This notebook will step you through how to do this with a Neural Network mindset, and will also hone your intuitions about deep learning.
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This tutorial demonstrates data analysis using example from two data sets using the Pandas Library. All the important operations are described in markdown cells.
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Numpy is a python library used to create, modify and interact with Arrays. It is a very vast and powerful library which is very essential for data analysis tasks. The Numpy library basic routines are very simple and easy to learn. Numpy is also known for scientific computation since it can handle large amount of data in the form of arrays.
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Basic Python Tutorial covering syntax of python and basic operations in python.
My entire Machine learning course notes along with code implementations for all algorithms. The notes are based on the course taught by AndrewNg offered by stanford on Coursera
My Notes on Quantum Information science based on course at MIT Open learning Library
Lecture Notes of Qiskit online Global Summer School 2020
Computing Trajectories of the Lorenz System using Adaptive Runge-Kutta Method
Extensive Notes on Reinforcement learning and Deep RL based on Foundations of Deep RL lecture series by Pieter Abbeel David Silvers Reinforcement learning Course and UC Berkeley Deep RL Boot Camp
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.