reddyav1

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

Brain-Tumor-Radiogenomics

Final project for EN.520.612 Machine Learning for Signal Processing

reddyav1.github.io

RoCoG-v2

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

TAPS

Pytorch Implementation of Task Adaptive Parameter Sharing for Multi-Task Learning (CVPR 2022)

unite

[CVPR 2024] Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914)

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

reddyav1/RoCoG-v2

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

reddyav1/Brain-Tumor-Radiogenomics

Final project for EN.520.612 Machine Learning for Signal Processing

reddyav1/awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

reddyav1/reddyav1.github.io

reddyav1/slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

reddyav1/spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

reddyav1/TAPS

Pytorch Implementation of Task Adaptive Parameter Sharing for Multi-Task Learning (CVPR 2022)

reddyav1/unite

[CVPR 2024] Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914)