sdeepaknarayanan

AI4AQ

Codes, Results and Implementations for CoDS-CoMAD paper "Active Learning for Air Quality Station Location Recommendation.

iglu

Code for our ICLR 2022 Paper IGLU: EffIcient Training of GCNs using Lazy Updates

activepm

Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment

Machine-Learning-Project

ML Project, Spring 2019

simplifying-transformers

Deep Learning Course Project, ETH Zurich 2022

ASL

cil-project

Projects for Computational Intelligence Lab

gml-project

Guarantees for Machine Learning Research Project

GPflow

Gaussian processes in TensorFlow

IoTPy

Python for streams

lottery-ticket-hypothesis

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

Lottery-Ticket-Hypothesis-in-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

optimization-theory-assignments

Assignments for the course Optimization for Data Science - ETH Zurich

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

agao23_script

Notes for the course https://kyng.inf.ethz.ch/courses/AGAO23/

autograd

Efficiently computes derivatives of numpy code.

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

blog

boosting_tree_benchmarks

chembo

Bayesian optimization framework for organic molecules with synthesizable recommendations

DimeNet-dgl

A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gitignore

A collection of useful .gitignore templates

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NeurIPS-2019

Repository for submission to the NeurIPS-2019

ranking

Learning to Rank in TensorFlow

sdeepaknarayanan

I am Deepak.

sos-matlab

A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs

Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

vayu