kowshikthopalli Goto Github PK

cattan

Test-Time Adaptation with Geometric Alignment

classifiers2learnwith

A library of solutions to USPS, MNIST, and notMNIST written for the purpose of learning.

cse591-practicals

Codes for ASU, CSE591, Spring 2017.

dcgan

PyTorch implementation of DCGAN

decider

Code coming soon

deep_subspace_clustering_networks

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dipha

Automatically exported from code.google.com/p/dipha

dreame

Code for paper Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization

eee598_sml_project

Pytorch code for reproducing the results of our group project

generate-image

My veresion of "Generating Images from Captions with Attention"

gitignore

A collection of useful .gitignore templates

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation"

grassmann_auto_enc

The latent space is Grassmann. Uses pytorch

habitat-api

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

hand-reconstruction

Single Image 3D Hand Reconstruction with Mesh Convolutions

ignite

High-level library to help with training neural networks in PyTorch

interaug

kowshikthopalli.github.io

large-scale-ot-mapping-tf

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

lenet-5

PyTorch implementation of LeNet-5 with live visualization

muldens

MulDEns is an ensemble approach for multi-domain generalization

my-tda

auxiliary scripts TDA - matlab and R

my_academic_website

my_paper_notes

This is where I intend to upload my notes on the papers I read regularly

pdsphere

A Riemannian framework for statistical analysis of topological persistence diagrams

persistence_diagram

Persistence Diagram for Structural Recognition

persistenceimages

This code, which is under development, accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology", available at http://arxiv.org/abs/1507.06217. Since the code is still under development, we recommend that you email the authors of this paper before trying to use the code.

ph-roadmap