offsite-tuning
transferlearning
Our great sponsors
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 |
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
-
[D] Difference between [ Offsite-Tuning: Transfer Learning without Full Model ] and Federated learning?
Found relevant code at https://github.com/mit-han-lab/offsite-tuning + all code implementations here
transferlearning
-
[D] Medium Article: Adaptive Learning for Time Series Forecasting
The src is available in https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
What are some alternatives?
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