Transfer-Learning-Library VS AdaTime

Compare Transfer-Learning-Library vs AdaTime and see what are their differences.

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization (by thuml)
domain-adaptation transfer-learning finetune unsupervised-domain-adaptation image-translation adversarial-learning Deep Learning self-training semi-supervised-learning Dann out-of-distribution-generalization
Source Code
transfer.thuml.ai
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AdaTime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data (by emadeldeen24)
Deep Learning Pytorch domain-adaptation time-series Eeg sleep-stage-classification human-activity-recognition transfer-learning unsupervised-domain-adaptation cdan Dann deep-coral homm dsan fault-detection fault-diagnosis
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Transfer-Learning-Library AdaTime
1 2
3,150 149
2.2% -
6.9 6.6
about 1 month ago 11 months ago
Python Python
MIT License MIT License
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Transfer-Learning-Library

Posts with mentions or reviews of Transfer-Learning-Library. We have used some of these posts to build our list of alternatives and similar projects.

AdaTime

Posts with mentions or reviews of AdaTime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-06.

What are some alternatives?

When comparing Transfer-Learning-Library and AdaTime you can also consider the following projects:

TranAD - [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

CEPC - A domain adaptation model

braindecode - Deep learning software to decode EEG, ECG or MEG signals

StyleDomain - Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)

paper_nava_2023_icra_fault-control-ironcub - Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

Transfer-Learning-Library vs TranAD AdaTime vs pykale Transfer-Learning-Library vs DeepLabCut AdaTime vs DFSpot-Deepfake-Recognition Transfer-Learning-Library vs transferlearning AdaTime vs TS-TCC Transfer-Learning-Library vs CEPC AdaTime vs braindecode Transfer-Learning-Library vs StyleDomain AdaTime vs paper_nava_2023_icra_fault-control-ironcub Transfer-Learning-Library vs pytorch-adapt AdaTime vs DA-Faster-RCNN