domain-adaptation

14 proyectos comparten este topic de GitHub

domain-adaptation — transferlearning ★14.3kdomain-adaptationTransfer-Learning-Library — ★3.9kPOT — ★2.8kDassl.pytorch — ★1.4kAdaptSegNet — ★856bonito — ★831Exclusively-Dark-Image-Dataset — ★637ICASSP-2023-24-Papers — ★525pykale — ★487powerful-benchmarker — ★441iros20-6d-pose-tracking — ★423pytorch-adapt — ★397Awesome-Forgetting-in-Deep-Learning — ★365gpl — ★342Transfer-Learning-Librar…★ 3.9kPOT★ 2.8kDassl.pytorch★ 1.4kAdaptSegNet★ 856bonito★ 831Exclusively-Dark-Image-D…★ 637ICASSP-2023-24-Papers★ 525pykale★ 487powerful-benchmarker★ 441iros20-6d-pose-tracking★ 423pytorch-adapt★ 397Awesome-Forgetting-in-De…★ 365gpl★ 342

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes,…
★ 14.3k
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
★ 3.9k
POT
POT : Python Optimal Transport
★ 2.8k
Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
★ 1.4k
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
★ 856
bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
★ 831
Exclusively-Dark-Image-Dataset
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light…
★ 637
ICASSP-2023-24-Papers
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP…
★ 525
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for…
★ 487
powerful-benchmarker
A library for ML benchmarking. It's powerful.
★ 441
iros20-6d-pose-tracking
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
★ 423
pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
★ 397
Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
★ 365
gpl
Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields…
★ 342
🔗 Familias relacionadas

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.