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abstract-algebra

Notes for Abstract Algebra, as read from **Abstract Algebra** by Pierre Antoine Grillet

algtop

Lecture notes on Algebraic Topology during the course taken by Prof. Somnath Basu.

bayesian-statistics

Exercises and R Analysis Codes made while reading anything Bayesian

category-theory-notes

Notes for basic Category Theory.

circuitx-kriti-2019

Algorithm for Truth Table Generation from Data Flow Matrix Generated by Main Program of Kartikaeya/Kriti-Circuit-X

cpp-stuff

C++ Related Miscellaneous Work

cryptography

An implementation of basic ciphers, authentication codes and common attacks.

cs231n-assignments

Solution to assignment 2 (CNN Implementation) of CS231n

distributions

Contains a list of all the Probability Distributions and their statistics encountered in MA212M

dmsposter

Poster presented on the DMS day. Title : Galois theorem for commutative algebras.

fog_oct23

Facets of Geometry, as of Jan, 2024.

galoisag

My undergraduate thesis, prepared under Prof. Rupam Barman. There are two parts, the first one deals with classical and general Galois theories. The latter deal with an introduction to algebraic geometry.

information-theory-coding

Notes for the ongoing course EE335 : Information Theory & Coding

kriti

kriti-circuitx

Created a program to deduce the truth table of a circuit from its image generated on multisim, using OpenCV library in python.

lgpt

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

linalg

Notes on Linear Algebra.

machine-learning-ag-ron

Support-cum-Solutions Notebooks made while reading the Hands On ML with Scikit-Learn & Tensorflow book by Aurélien Geron

mathematical-statistics

Notes and Assignments of selected topics from MA212M : Mathematical Statistics.

measure-theory

Notes for the course MA550 : Measure Theory.

meltwater-summer-2019

Some of the Web Scrapers, NLP Algos' and Data Analysis Codes written during the awesome 2019 Summer Internship at Meltwater

meltwater-winter-2019

meta-learning

Codes for Meta Learning and/or Unsupervised Learning

mlpack

Contains basic implementation of some of the most used Machine Learning Algorithms, for fun!

neural-turing-machine

A modular Implementation of the Neural Turing Machine introduced by Alex Graves et al.

notes-fog

FOG and recent notes

opjems-business-proposal

Business Proposal for OPJEMS Scholarship Programme for the year of 2019.

parallel-tempering-ntm

Neural Turing Machine with weight uncertainty using Parallel Tempering.

reinforcement-learning

My solutions to classical RL Problems from the Denny Britz's RL Repository.

scientific-computing-ma311m

Notes for the course MA311M Scientific Computing.