Name: Rishi Dey Chowdhury
Type: User
Company: Indian Statistical Institute
Bio: Aspiring ML and Quant Researcher.
I have a keen interest in solving complex real-life data-driven problems.
I enjoy travelling, drawing and music.
Twitter: rishidarkdevil
Location: Kolkata, India
Blog: https://rishidarkdevil.github.io/
Rishi Dey Chowdhury's Projects
This contains the work related to iQuHack IonQ Remote Challenge 2023
This work contains implementation of some techniques to detect AI generated images
Deals with usage of Logistic Regression to explain Alzheimer's Disease in patients and control group based on specific SNPs and other exams on the subjects.
A comprehensive study of the product listing and product attribute extraction on Amazon India e-commerce website.
A framework for generating domain-specific labelling functions for weak supervision and data programming.
This deals with using Kernel Density Estimation to obtain fast video background subtraction for extraction of moving subjects
Word Embedding and Collocation extraction of Bengali Natural Language Texts for subsequent use in development of Bengali WordNet.
Contains all the implementation and work related to my reading of CLRS
Learning CP Algorithms
Diffusion attentive attribution maps for interpreting Stable Diffusion for image-to-image attention.
Diffusion attentive attribution maps for interpreting Stable Diffusion for text-to-image attention
This contains the data and the webpage information for Indian Statistical Institute, DataFest 2023
This contains my coursework for the Design and Analysis of Algorithms Course in 5th Semester of the undergraduate statistics major.
This is a psychological test for figuring out the capacity of Working Memory of the Human Brain.
Deals with performing distinguishing attack on some popular symmetric-key block based ciphers with machine learning.
Deals with document image classification into 16 categories.
Practiced Data Structures and Algorithms problems
This contains implementation of eigenvalue calculation algorithms from scratch.
This is my psychological analysis on how humans percieve faces and what information face gives to us. We also examine the preferences when it comes to human faces.
The repository contains the labs which were a part of the IBM Quantum Challenge Fall 2022.
Phase Transition based Implicit Neural Representation
Implementation of EM algorithm for Segmentation of Image.
It contains work pertaining to coming up with models for generating enriched joint embedding from textual and visual data.
Deals with using knowledge graphs for improving Neural Machine Translation
This work is related to using Linear Statistical Model to estimate coordinate of locations on a map based on snippets.
It contains Simple Multi-Armed Bandit Web App in Streamlit.
Some techniques on how to do model compression for Neural Networks.
Reading and Visualizing NIfTI Files
We explore several architechtures and techniques and try to improve English to Indian Language(Bengali) Neural Machine Translation
Work related to establishing neural uncertainty as a major factor behind human emotions.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent