kunalghosh/T-61.5140-Machine-Learning-Advanced-Probabilistic-Methods

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Created over 7 years ago
Updated over 7 years ago

kunalghosh/T-61.5140-Machine-Learning-Advanced-Probabilistic-Methods

kunalghosh

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Project work done as a part of the course on Machine Learning Advanced Probabilistic Methods held in Aalto University during Spring 2016

Deep-Learning-Spectroscopy

Code for deep learning models to predict molecular electronic properties.

KLD_exercise

Simple Exercise to implement Forward and Reverse KL-Divergence minimization.

Shotgun-Spark

Implementation of the parallel coordinate descent algorithm (akyrola/shotgun) in Spark

OwnCloud

my contributions to the owncloud.org project main repo:https://gitorious.org/owncloud

Conference-Grok

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)

python_small_projects

small utility projects in python

PBBVI_experiments

Experiments with Perturbative Black-box Variational Inference. https://arxiv.org/abs/1709.07433

Jupyter Notebook

Database_Project

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

Lab-Programs

7th semester Web and Networks Lab Programs

vimrc-backup

Multi_Fidelity_Prediction_GP

Using Gaussian processes for multi-fidelity prediction.

Jupyter Notebook

kunalghosh.github.io