transferlearning VS PaddleHelix

Compare transferlearning vs PaddleHelix and see what are their differences.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 (by jindongwang)
transferlearning domain-adaptation transfer-learning Survey Deep Learning generalization few-shot tutorial-code Theory Papers few-shot-learning meta-learning domain-generalization representation-learning unsupervised-learning Machine Learning self-supervised-learning Paper style-transfer domain-adaption
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transferlearning.xyz
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PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集 (by PaddlePaddle)
biocomputing Machine Learning Deeplearning rna-structure-prediction dti representation-learning graph-networks protein-structure-prediction self-supervised-learning ppi molecule-design protein-folding ddi protein-docking protein-design
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transferlearning PaddleHelix
1 1
12,867 789
- 1.1%
7.8 5.4
10 days ago about 2 months ago
Python Python
MIT License Apache License 2.0
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transferlearning

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

PaddleHelix

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

What are some alternatives?

When comparing transferlearning and PaddleHelix you can also consider the following projects:

zshot - Zero and Few shot named entity & relationships recognition

dipy - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

stackoverflow-better-stats - Better statistics about Stack Overflow's 2023 Developer Survey

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

DeBERTa - The implementation of DeBERTa

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

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).

transferlearning vs zshot PaddleHelix vs dipy transferlearning vs stackoverflow-better-stats PaddleHelix vs typedb-ml transferlearning vs awesome-artificial-intelligence-research PaddleHelix vs DeBERTa transferlearning vs TS-TCC PaddleHelix vs eirli transferlearning vs Transfer-Learning-Library PaddleHelix vs Unsupervised-Classification transferlearning vs Efficient-VDVAE transferlearning vs FSL-Mate