offsite-tuning
autogluon
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offsite-tuning | autogluon | |
---|---|---|
1 | 19 | |
359 | 5,088 | |
0.6% | - | |
4.8 | 9.9 | |
5 months ago | over 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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offsite-tuning
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[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
autogluon
What are some alternatives?
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
carefree-learn - Deep Learning ❤️ PyTorch
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
NaiveNASlib.jl - Relentless mutation!!
DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated
featuretools - An open source python library for automated feature engineering
DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
Time-Series-Library - A Library for Advanced Deep Time Series Models.
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
DeepPipe - [KDD 2023] Deep Pipeline Embeddings for AutoML