Ananyapam7

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/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/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.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-4207

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

Ananyapam7/ananyapam7

A short bio

Ananyapam7/HFTBOT

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

Ananyapam7/pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Ananyapam7/PLNmodels

A collection of Poisson lognormal models for multivariate count data analysis

Ananyapam7/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Ananyapam7/CSES

Ananyapam7/dagma_pyro

Ananyapam7/NAMpy

Ananyapam7/NodeGAMLSS

Code for deep distributional learning using Node-GAMLSS

Ananyapam7/variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)