Ananyapam7
Pre-Doc at IITB, MS in Mathematics and Statistics at IISER-K + Minor in the Computational and Data Sciences
IIT BombayPowai, Mumbai, India
Pinned Repositories
AILA-Artificial-Intelligence-for-Legal-Assistance
Python implementations of the various methods used in FIRE 2019 conference.
Customer-Churn-Prediction
Predict customer churn using deep learning models. This repository houses the code and assets required to build a robust deep learning model to forecast customer churn based on a variety of demographic and account-specific factors.
Exploring-Blockchain-and-Cryptocurrency
This work is a part of a winter project in IISER Pune, December 2019.
Introductory-Quantum-Algorihtms
This is an introductory tutorial on quantum information and quantum computing to get you started coding with Qiskit, an open-source SDK used to program IBM's quantum computers.
mmseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
Pneumonia-detection
Using Partial Transfer Learning and Depthwise Separable Convolutions on the VGG-16 architecture for Pneumonia Detection.
rubik-s-club-website
The code for the official website of the Rubik's Club of IISER-K
YouTubeVolumeTransition
A chrome extension that ensures smooth volume transitions between YouTube videos. No more sudden eardrum blasts when switching songs! Experience your favourite tunes the courteous way. 🎧✨
chess-club
The official website for the Chess-Club of IISER Kolkata
woc-tts-enhancement
This is a winter of code project aimed at speech enhancement of text to speech models.
Ananyapam7's Repositories
Ananyapam7/AILA-Artificial-Intelligence-for-Legal-Assistance
Python implementations of the various methods used in FIRE 2019 conference.
Ananyapam7/Pneumonia-detection
Using Partial Transfer Learning and Depthwise Separable Convolutions on the VGG-16 architecture for Pneumonia Detection.
Ananyapam7/YouTubeVolumeTransition
A chrome extension that ensures smooth volume transitions between YouTube videos. No more sudden eardrum blasts when switching songs! Experience your favourite tunes the courteous way. 🎧✨
Ananyapam7/rubik-s-club-website
The code for the official website of the Rubik's Club of IISER-K
Ananyapam7/Introductory-Quantum-Algorihtms
This is an introductory tutorial on quantum information and quantum computing to get you started coding with Qiskit, an open-source SDK used to program IBM's quantum computers.
Ananyapam7/Customer-Churn-Prediction
Predict customer churn using deep learning models. This repository houses the code and assets required to build a robust deep learning model to forecast customer churn based on a variety of demographic and account-specific factors.
Ananyapam7/Exploring-Blockchain-and-Cryptocurrency
This work is a part of a winter project in IISER Pune, December 2019.
Ananyapam7/mmseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
Ananyapam7/Library_System
Course Project: CS3101
Ananyapam7/ananyapam7.github.io
Ananyapam7/Bioinformatics-Rosalind
Rosalind offers an array of intellectually stimulating problems in bioinformatics that grow in biological and computational complexity. This repository is a collection of my solutions for the same.
Ananyapam7/MA-3105
MA3105 is a 4 credit course offered by the DMS at IISER-K which focuses on computational numerical analysis that has immense applications in various fields.
Ananyapam7/ananyapam7
A short bio
Ananyapam7/HFTBOT
Cross Exchange/Hedged market making Trading Bot in C++
Ananyapam7/MA-4207
My codes for the course MA4207: Machine Learning and Network Analysis offered by the DMS, IISER Kolkata
Ananyapam7/PLNmodels
A collection of Poisson lognormal models for multivariate count data analysis
Ananyapam7/CSES
Ananyapam7/NAM-torch
Neural Additive Models in PyTorch
Ananyapam7/QuantitativeResearchRepository
An organized compilation of my daily explorations, insights, and advancements in quantitative research. This repository provides a comprehensive overview of my journey through Mathematics, Statistics, Machine Learning, and related disciplines. It stands as a testament to my dedication to continuous learning and mastery in the quantitative domain.