Pinned Repositories
IoTPy
Python for streams
activepm
Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment
AI4AQ
Codes, Results and Implementations for CoDS-CoMAD paper "Active Learning for Air Quality Station Location Recommendation.
Computer-Vision
Assignments for 3D Computer Vision, IIT Gandhinagar
Content-Aware-Rotation
Computer Vision Project
CORDIC-Processor
CORDIC Processor Implementation (Vanilla)
DSA
A few Data Structures and Algorithms
iglu
Code for our ICLR 2022 Paper IGLU: EffIcient Training of GCNs using Lazy Updates
Machine-Learning
Assignments of the ML Course at IIT Gandhinagar
Generalizing-Lottery-Tickets
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
sdeepaknarayanan's Repositories
sdeepaknarayanan/AI4AQ
Codes, Results and Implementations for CoDS-CoMAD paper "Active Learning for Air Quality Station Location Recommendation.
sdeepaknarayanan/iglu
Code for our ICLR 2022 Paper IGLU: EffIcient Training of GCNs using Lazy Updates
sdeepaknarayanan/activepm
Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment
sdeepaknarayanan/Machine-Learning-Project
ML Project, Spring 2019
sdeepaknarayanan/simplifying-transformers
Deep Learning Course Project, ETH Zurich 2022
sdeepaknarayanan/ASL
sdeepaknarayanan/cil-project
Projects for Computational Intelligence Lab
sdeepaknarayanan/gml-project
Guarantees for Machine Learning Research Project
sdeepaknarayanan/GPflow
Gaussian processes in TensorFlow
sdeepaknarayanan/IoTPy
Python for streams
sdeepaknarayanan/lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
sdeepaknarayanan/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.
sdeepaknarayanan/optimization-theory-assignments
Assignments for the course Optimization for Data Science - ETH Zurich
sdeepaknarayanan/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
sdeepaknarayanan/agao23_script
Notes for the course https://kyng.inf.ethz.ch/courses/AGAO23/
sdeepaknarayanan/autograd
Efficiently computes derivatives of numpy code.
sdeepaknarayanan/beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
sdeepaknarayanan/blog
sdeepaknarayanan/boosting_tree_benchmarks
sdeepaknarayanan/chembo
Bayesian optimization framework for organic molecules with synthesizable recommendations
sdeepaknarayanan/DimeNet-dgl
A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).
sdeepaknarayanan/gcn
Implementation of Graph Convolutional Networks in TensorFlow
sdeepaknarayanan/gitignore
A collection of useful .gitignore templates
sdeepaknarayanan/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
sdeepaknarayanan/NeurIPS-2019
Repository for submission to the NeurIPS-2019
sdeepaknarayanan/ranking
Learning to Rank in TensorFlow
sdeepaknarayanan/sdeepaknarayanan
I am Deepak.
sdeepaknarayanan/sos-matlab
A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs
sdeepaknarayanan/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"
sdeepaknarayanan/vayu