offsite-tuning VS transferlearning

Compare offsite-tuning vs transferlearning and see what are their differences.

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offsite-tuning transferlearning
1 1
359 12,867
0.6% -
4.8 7.8
5 months ago 4 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

offsite-tuning

Posts with mentions or reviews of offsite-tuning. 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 offsite-tuning and transferlearning you can also consider the following projects:

zshot - Zero and Few shot named entity & relationships recognition

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.

natural-adv-examples - A Harder ImageNet Test Set (CVPR 2021)

multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond