transformer_generalization VS transferlearning

Compare transformer_generalization vs transferlearning and see what are their differences.

transformer_generalization

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations. (by RobertCsordas)
generalization Transformers systematic-generalization Paper Machine Learning Deep Learning Pytorch
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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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transformer_generalization transferlearning
1 1
65 12,880
- -
0.0 7.8
over 1 year ago 12 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

transformer_generalization

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

transferlearning

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

What are some alternatives?

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

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

zshot - Zero and Few shot named entity & relationships recognition

CARL - Benchmarking RL generalization in an interpretable way.

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

PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

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.

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

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

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).

train-procgen - Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

fast-artistic-videos - Video style transfer using feed-forward networks.

transformer_generalization vs qlib transferlearning vs zshot transformer_generalization vs CARL transferlearning vs stackoverflow-better-stats transferlearning vs PaddleHelix transferlearning vs awesome-artificial-intelligence-research transferlearning vs TS-TCC transferlearning vs Transfer-Learning-Library transferlearning vs Efficient-VDVAE transferlearning vs FSL-Mate transferlearning vs train-procgen transferlearning vs fast-artistic-videos