Obsinaan

2015lab3

2021-Python-for-Machine-Learning-Data-Science-Masterclass

A-Roadmap-for-Transfer-Learning

A-Sliced-Wasserstein-Loss-for-Neural-Texture-Synthesis

About-me

AdaMatch-TF

Includes additional materials for the following keras.io blog post.

adapt

Awesome Domain Adaptation Python Toolbox

ALDA

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere".

Obsinaan/2015lab3

Obsinaan/A-Roadmap-for-Transfer-Learning

Obsinaan/A-Sliced-Wasserstein-Loss-for-Neural-Texture-Synthesis

Obsinaan/ALDA

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

Obsinaan/align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere".

Obsinaan/Awesome-Domain-Generalization

Awesome things about domain generalization, including papers, code, etc.

Obsinaan/CAF

[TKDE 2022] A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation

Obsinaan/CLUDA

Contrastive Learning for Domain Adaptation of Time Series

Obsinaan/CMLD

CMLD: Contrastive mutual learning distillation for unsupervised domain adaptive person re-identification

Obsinaan/CoTMix

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup

Obsinaan/cs236781-tutorials

Deep Learning course tutorials

Obsinaan/D-MCD

code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation

Obsinaan/DECISION

Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

Obsinaan/Detecting-Melanoma-Fairly

Implementation for 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

Obsinaan/fishr

Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization

Obsinaan/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Obsinaan/IDFSP_2022

IDFSP

Obsinaan/Introduction-to-Computer-Vision-and-Image-Processing

Labs for Introduction to Computer Vision and Image Processing by IBM on Coursera

Obsinaan/KL

Obsinaan/LLM-workshop-2024

A 4-hour coding workshop to understand how LLMs are implemented and used

Obsinaan/mathematical-tours.github.io

Site web of the Mathematical Tours

Obsinaan/MultiModal-learning

Obsinaan/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Obsinaan/pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Obsinaan/Raincoat

Domain Adaptation for Time Series Under Feature and Label Shifts

Obsinaan/Riemannian-Representation-Learning

Pytorch code for the work "Riemannian Representation Learning for Multi-Source Domain Adaptation" published in Pattern Recognition

Obsinaan/SFDA-FSM

[MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining

Obsinaan/SHOT-plus_Privacy_DA

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Obsinaan/SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

Obsinaan/UDA

MY_Research_file