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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.
Pages
About Me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
Bayesian Multi Layered Perceptron
[code & report] Implemented a Bayesian Neural Network to classify a simple noisy XOR dataset. The model can be extended to work with more complex datasets. Defined posterior and likelihood functions and used Markov Chain Monte Carlo sampling, using the Metropolis‑Hastings algorithm.
Food Calorie Estimation using YOLOv5
[code & report] An implementation of a Food Calorie estimator using YOLOv5 on the ECUSTFD food dataset. This model takes into account bounding box width and height taken from both top and side views as well as the food item class using YOLOv5 for object detection. Using these as input parameters, we train a simple ANN to give the calories contained as a regression output.
Image Super-resolution
[code & report] This is an Implementation of Image SuperResolution using standard CNNs as well as CNNs containing Residual Layers. To compare the different interpolation techniques used while upsampling our images, the SRCNN has been used to make direct comparisons between Bicubic, Bilinear and Nearest Neighbour interpolations
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
QSTP 2022: Introduction to Deep Learning
Instructor, Quark, BITS Pilani - Goa, 2022
I’ll be one of the instructors for the Introduction to Deep Learning course, which provides introductory knowledge about Deep Learning, Computer Vision, Natural Language Processing, and Generative Models. The course is organized by Quark Controls, at BITS Pilani - Goa Campus, during summer 2022.