Ananyapam7

AILA-Artificial-Intelligence-for-Legal-Assistance

Python implementations of the various methods used in FIRE 2019 conference.

Pneumonia-detection

Using Partial Transfer Learning and Depthwise Separable Convolutions on the VGG-16 architecture for Pneumonia Detection.

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. 🎧✨

rubik-s-club-website

The code for the official website of the Rubik's Club of IISER-K

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.

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.

mmseqs2

MMseqs2: ultra fast and sensitive search and clustering suite

Library_System

Course Project: CS3101

ananyapam7.github.io

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.

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

A short bio

HFTBOT

Cross Exchange/Hedged market making Trading Bot in C++

MA-4207

My codes for the course MA4207: Machine Learning and Network Analysis offered by the DMS, IISER Kolkata

PLNmodels

A collection of Poisson lognormal models for multivariate count data analysis

CSES

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.