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Notes for Abstract Algebra, as read from **Abstract Algebra** by Pierre Antoine Grillet
Lecture notes on Algebraic Topology during the course taken by Prof. Somnath Basu.
Exercises and R Analysis Codes made while reading anything Bayesian
Notes for basic Category Theory.
Algorithm for Truth Table Generation from Data Flow Matrix Generated by Main Program of Kartikaeya/Kriti-Circuit-X
C++ Related Miscellaneous Work
An implementation of basic ciphers, authentication codes and common attacks.
Solution to assignment 2 (CNN Implementation) of CS231n
Contains a list of all the Probability Distributions and their statistics encountered in MA212M
Poster presented on the DMS day. Title : Galois theorem for commutative algebras.
Facets of Geometry, as of Jan, 2024.
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.
An example use of Gerby.
Notes for the ongoing course EE335 : Information Theory & Coding
Created a program to deduce the truth table of a circuit from its image generated on multisim, using OpenCV library in python.
Langevin Gradient Parallel Tempering for Bayesian Neural Learning.
Notes on Linear Algebra.
Support-cum-Solutions Notebooks made while reading the Hands On ML with Scikit-Learn & Tensorflow book by Aurélien Geron
Notes and Assignments of selected topics from MA212M : Mathematical Statistics.
Notes for the course MA550 : Measure Theory.
Some of the Web Scrapers, NLP Algos' and Data Analysis Codes written during the awesome 2019 Summer Internship at Meltwater
Codes for Meta Learning and/or Unsupervised Learning
Contains basic implementation of some of the most used Machine Learning Algorithms, for fun!
A modular Implementation of the Neural Turing Machine introduced by Alex Graves et al.
FOG and recent notes
Business Proposal for OPJEMS Scholarship Programme for the year of 2019.
Neural Turing Machine with weight uncertainty using Parallel Tempering.
My solutions to classical RL Problems from the Denny Britz's RL Repository.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.