Name: Deepak Narayanan
Type: User
Company: ETH
Bio: Grad Student at ETH Zurich
Location: Zurich
I am a graduate student at ETH Zurich.
My research interests are in high-dimensional statistics, optimization, and theoretical computer science with a particular focus on understanding the computational complexity of statistical inference. I am also interested in robust and differentially private learning.
Feel free to ping me at dsridharan[AT]ethz.ch if you are interested in discussing or collaborating with me on the above topics.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
activepm
Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment
agao23_script
Notes for the course https://kyng.inf.ethz.ch/courses/AGAO23/
ai4aq
Codes, Results and Implementations for CoDS-CoMAD paper "Active Learning for Air Quality Station Location Recommendation.
air-quality-prediction
Repository of KDD Cup, 2018.
air-quality-prediction-hackathon-winning-model
Contains the code for the model that won Kaggle's Air Quality Prediction Hackathon
asl
autograd
Efficiently computes derivatives of numpy code.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-network-analysis
A curated list of awesome network analysis resources.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bash-guide
A guide to learn bash
beautiful-jekyll
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
blog
boosting_tree_benchmarks
bplustree
A python implementation of B+ Tree
cartopy-tutorial
Basic tutorial for cartopy map plotting Python package
chembo
Bayesian optimization framework for organic molecules with synthesizable recommendations
cil-project
Projects for Computational Intelligence Lab
computer-vision
Assignments for 3D Computer Vision, IIT Gandhinagar
content-aware-rotation
Computer Vision Project
cordic-processor
CORDIC Processor Implementation (Vanilla)
coresets
Coresets
cs-613-natural-language-processing
This is list of all the code written for the NLP Course. Jupyter Notebooks will be added as and when they are written with.
data-analysis
Data Analysis Using Python
data-science
Assignments and Project of Data Science Course at IIT Gandhinagar
dimenet-dgl
A DGL implementation of "Directional Message Passing for Molecular Graphs" (ICLR 2020).
dirichlet-process-demonstration
A demo of Dirichlet Distribution, Dirichlet Process and the Chinese Restaurant Process based GMM Clustering
distsys-class
Class materials for a distributed systems lecture series
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
