deep-kernel-transfer VS MLBox

Compare deep-kernel-transfer vs MLBox and see what are their differences.

deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020) (by BayesWatch)
gaussian-processes few-shot-learning bayesian-methods Deep Learning deep-kernel-learning one-shot-learning kernel-methods Classification Regression gpytorch Kernel shot-learning uncertainty-quantification uncertainty Paper meta-learning kernels
Source Code
arxiv.org
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MLBox

MLBox is a powerful Automated Machine Learning python library. (by AxeldeRomblay)
Machine Learning auto-ml Kaggle Deep Learning stacking Pipeline Optimization preprocessing Encoding Prediction Distributed Xgboost DrIFT Classification Regression Lightgbm Keras automated-machine-learning Automl Data Science
Source Code
mlbox.readthedocs.io
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deep-kernel-transfer MLBox
1 1
190 1,477
1.6% -
10.0 0.0
over 2 years ago 9 months ago
Python Python
- GNU General Public License v3.0 or later
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deep-kernel-transfer

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

MLBox

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

What are some alternatives?

When comparing deep-kernel-transfer and MLBox you can also consider the following projects:

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

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

ipme - An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".

AlphaPy - Python AutoML for Trading Systems and Sports Betting

fortuna - A Library for Uncertainty Quantification.

nylon - An intelligent, flexible grammar of machine learning.

rcps - Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

draf - Demand Response Analysis Framework (DRAF)

heinsen_tree - Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.

gmr - Gaussian Mixture Regression

deep-kernel-transfer vs FSL-Mate MLBox vs lazypredict deep-kernel-transfer vs ipme MLBox vs AlphaPy deep-kernel-transfer vs fortuna MLBox vs nylon deep-kernel-transfer vs rcps MLBox vs draf deep-kernel-transfer vs heinsen_tree MLBox vs gmr