kowshikthopalli

CATTAn

Test-Time Adaptation with Geometric Alignment

deep_subspace_clustering_networks

MULDENS

MulDEns is an ensemble approach for multi-domain generalization

SISTA

Code for Single-Shot Domain Adaptation via Target-Aware Generative Augmentations

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

Grassmann_auto_enc

The latent space is Grassmann. Uses pytorch

DECIDER

Code coming soon

detectron2

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

gitignore

A collection of useful .gitignore templates

graph-rcnn.pytorch

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

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

my_academic_website

my_paper_notes

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

POT

Python Optimal Transport library

PREFER

Code for our ECCV paper PREFER: Leveraging Vision-Language Priors for Improved Model Failure Detection and Explanation

pytorch-domain-adaptation

Unofficial pytorch implementation of algorithms for domain adaptation

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

Quantum-Machine-Learning

Notebooks from University of Toronto's Quantum ML MOOC

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

Sequence-Models

Programming assignments of "Sequence Models" course of deep learning specialization by Andrew Ng in Coursera

starter-hugo-academic

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vision

Datasets, Transforms and Models specific to Computer Vision