AdityaAS

Grad student at Georgia Tech Ex - {@ADAPTLab @malllabiisc @WadhwaniAI}

Georgia Institute of TechnologyAtlanta

Pinned Repositories

adityaas.github.io
Language:JavaScript0 1 00
dotfiles
My dotfiles
Language:Shell2 1 00
Fashion-Recommendation-using-ML
Language:Jupyter Notebook6 0 02
gt_ice_demo
Language:Python2 2 00
HowTo
An attempt to make it easy for beginners get hands on experience with Apache Solr, Apache Kafka, Elastic Search, Docker and Kubernetes
Language:Python0 4 00
MuDBSCAN
MuDBSCAN: An Exact Scalable DBSCAN Algorithm for Big Data Exploiting Spatial Locality
Language:C++1 1 00
Operating-Systems
Language:C2 2 00
panorama
Generate a coherent panorama using Stable Diffusion
Language:Jupyter Notebook0 0 00
pu-learning
Positive and unlabeled learning wrappers for scikit-learn
Language:Jupyter Notebook3 2 02
Question-Answering-System
A simple Question Answering System. Coded using NLTK in Python. Based on the paper "An Analysis of the AskMSR Question-Answering System"
Language:Python6 2 11

AdityaAS's Repositories

AdityaAS/Fashion-Recommendation-using-ML
Language:Jupyter Notebook6 0 02
AdityaAS/Question-Answering-System
A simple Question Answering System. Coded using NLTK in Python. Based on the paper "An Analysis of the AskMSR Question-Answering System"
Language:Python6 2 11
AdityaAS/pu-learning
Positive and unlabeled learning wrappers for scikit-learn
Language:Jupyter Notebook3 2 02
AdityaAS/dotfiles
My dotfiles
Language:Shell2 1 00
AdityaAS/gt_ice_demo
Language:Python2 2 00
AdityaAS/Operating-Systems
Language:C2 2 00
AdityaAS/FAER-ML
Material for the Python/ML/DL Workshop
Language:Jupyter Notebook1 4 01
AdityaAS/GroupDBSCAN
Language:C1 2 10
AdityaAS/MuDBSCAN
MuDBSCAN: An Exact Scalable DBSCAN Algorithm for Big Data Exploiting Spatial Locality
Language:C++1 1 00
AdityaAS/PyTorch_NTEE
PyTorch implementation of the code https://github.com/studio-ousia/ntee/
Language:Python1 2 00
AdityaAS/adityaas.github.io
Language:JavaScript0 1 00
AdityaAS/cycada
Language:Jupyter Notebook0 2 10
AdityaAS/HowTo
An attempt to make it easy for beginners get hands on experience with Apache Solr, Apache Kafka, Elastic Search, Docker and Kubernetes
Language:Python0 4 00
AdityaAS/panorama
Generate a coherent panorama using Stable Diffusion
Language:Jupyter Notebook0 0 00
AdityaAS/BSConv
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Language:Python0 0
AdityaAS/coding
An attempt to revisit competitive / interview coding
Language:C++3 01
AdityaAS/CompilerConstruction
Language:C2 0
AdityaAS/Computer-Networks
Language:HTML2 1
AdityaAS/datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
Language:HTML2 01
AdityaAS/FoodSense
Language:Matlab2 0
AdityaAS/GroupRTree
Language:C++2 0
AdityaAS/hooks
2 0
AdityaAS/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Language:Python1 0
AdityaAS/optimaleps
Language:Python2 0
AdityaAS/ParallelComputing_MPI
Parallel Computing, Assignment 2
Language:C2 0
AdityaAS/scala-specialization
Repo containing weekly assignments for the courses included in the Coursera Scala Specialization - EPFL taught by Martin Odersky
2 0
AdityaAS/slurm_scripts
Language:Python1 0
AdityaAS/solrdump
Export SOLR documents efficiently with cursors.
Language:Go3 0
AdityaAS/tutorials
PyTorch tutorials.
Language:Python1 0