Code Monkey home page Code Monkey logo

> Hi there, I'm Madhav

  • 🚀 A Final year Undergraduate in the discipline of Computer Science and Engineering at IIT Gandhinagar.
  • 👀 Interested in Active Learning, Bayesian Inference, Generative Adversarial Networks (GAN), and machine learning applications.
  • ✉️ Email me on [email protected]
  • ⚡️ Working as a Research Assistant under Prof. Aki Vehtari, PML group, Aalto University.
  • 🌱 Past experience of working as a research intern under Prof. A.G. Ramakrishnan, MILE Labs, IISc. Bangalore.

Skills

C C++ Python HTML5 Heroku NodeJS Express

Socials

My GitHub Stats

Madhav-Kanda's GitHub stats

Madhav Kanda's Projects

amalthea2021 icon amalthea2021

Repository for the official website of Amalthea 2021 (Technical Summit of IIT Gandhinagar).

assembler-disassembler icon assembler-disassembler

Assembler converts assembly code into machine code. Disassembler converts machine code into assembly code.

astra icon astra

"AI for Sustainability" Toolkit for Research and Analysis

autodiff-inference icon autodiff-inference

AutoDiff-Inference: Automatic Differentiation Inference. This Repository combines ADVI's change of variable power with Laplace Approximation to provide better inference for constrained parameters. Work done as a part of development of Bijax

bambi icon bambi

BAyesian Model-Building Interface (Bambi) in Python.

blind-image-restoration icon blind-image-restoration

Pytorch based implementation of earlier State of the Art Deep Generative Filter for Motion Deblurring with integration of advanced techniques to significantly improve the results

compiler-project icon compiler-project

Revolutionize Compilation: A Powerful Compiler Built from Scratch with Python, incorporating advanced techniques for lexical analysis, parsing, semantic analysis, optimization, and user-friendly interface.

iitgn-work icon iitgn-work

This repository contains all the assignments/submissions specific to the coursework done at IIT Gandhinagar

mauna-lua-co2-prediction icon mauna-lua-co2-prediction

Implemented Gaussian Process and Neural Network with MC dropout to compare the result of the prediction obtained on the Mauna Lua CO2 Dataset

mnist-fashion-mnist icon mnist-fashion-mnist

Compared the results obtained by using neural network with and without using MC dropout for MNIST and Fashion MNIST dataset

numpyro icon numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

preliz icon preliz

A tool-box for prior elicitation.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.