kunalghosh Goto Github PK
Name: Kunal Ghosh
Type: User
Company: Aalto University
Bio: PhD student at Aalto University. Bayesian machine learning and its applications in materials science.
Location: Helsinki
Name: Kunal Ghosh
Type: User
Company: Aalto University
Bio: PhD student at Aalto University. Bayesian machine learning and its applications in materials science.
Location: Helsinki
Given PubMed and Arxiv xml dumps, returns a summary
Cookiecutter template to generate the directory structure needed for runs
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Declarative statistical visualization library for Python
A proof of concept hardware + software combination to aid in teaching bread boarding to electronics beginners.
Various Arduino examples
Arduino Experiments
Bayesian Data Analysis course at Aalto
Course Assignments for the course on Computational Science at Aalto University
Using CNN to predict molecule spectra
Convert a list of arxiv urls (maybe your backlog of to-read papers) into a easy to read set of HTML Cards (with title, authors, abstract, link to pdf)
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
Up-to-date version of the CV
This was the database project i did as a part of my course work. NOTE: It was a long time ago and there might be some parts missing. Please adapt
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Code for deep learning models to predict molecular electronic properties.
Repo to make predictions using the deep learning spectroscopy code
Deep Learning Tutorial notes and code. See the wiki for more info.
Zheng Zhao's doctoral dissertation from Aalto University
Repo of my implementation of Gaussian processes in PyTorch. Also look at AlejandroCatalina/gp-pytorch (Where Alex and I do the same thing) and also GPyTorch.
Python challenge
Contains all the files related to my ownCloud proposal
Assignments for the Kernel Methods course taught by Prof. Juho Rousu at Aalto University (https://mycourses.aalto.fi/course/view.php?id=13088)
Simple Exercise to implement Forward and Reverse KL-Divergence minimization.
7th semester Web and Networks Lab Programs
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
Poster to present the MSc. thesis work. (Initial version presented at Aalto internal research day)
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.