MLBox VS deep-kernel-transfer

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

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

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 deep-kernel-transfer
1 1
1,475 190
- 1.6%
0.0 10.0
9 months ago over 2 years ago
Python Python
GNU General Public License v3.0 or later -
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MLBox

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

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.

What are some alternatives?

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

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

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

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

nylon - An intelligent, flexible grammar of machine learning.

fortuna - A Library for Uncertainty Quantification.

draf - Demand Response Analysis Framework (DRAF)

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

gmr - Gaussian Mixture Regression

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

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

Genome - Genome Network Ala Neural Network

MLBox vs lazypredict deep-kernel-transfer vs FSL-Mate MLBox vs AlphaPy deep-kernel-transfer vs ipme MLBox vs nylon deep-kernel-transfer vs fortuna MLBox vs draf deep-kernel-transfer vs rcps MLBox vs gmr deep-kernel-transfer vs heinsen_tree MLBox vs ML.NET-Auto-ML-ESRB-Rating-Classification deep-kernel-transfer vs Genome