MLBox
deep-kernel-transfer
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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
deep-kernel-transfer
-
What approach to take predicting a simple data stream?
Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer
What are some alternatives?
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