Alternatives

Products that do what The Hungarian maximum likelihood trick does

1PM
Python Machine Learning – A Crash Course▲350
2019 · github.com
2AR
A radically more scalable alternative to Bayesian Optimization▲96
2018 · github.com
3ML
Machine learning cheat sheet▲166
2011 · eferm.com
4E2
Euro 2016 predictions using Bayesian inference▲79
2016 · kickoff.ai
5BA
Brancher – A user-friendly PyTorch module for probabilistic inference▲96
2019 · brancher.org
6SF
Shishua – Fast pseudo-random generator▲93
2020 · espadrine.github.io
7OH
Optimizing Higher Order Functions with Hypothetical Inverses▲55
2016 · medium.com
8PA
Pykov – a tiny Python module on finite regular Markov chains▲37
2014 · github.com
9MT
Markov Technology▲14
2016 · demos.samgentle.com
10
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015
11PP
Plait.py – a fake data modeler▲85
2018 · github.com
12GI
Go implementation of Welford's algorithm for weighted variance▲11
2021 · github.com
13MN
ML News – Like HN, but for Machine Learning▲38
2020 · mln.dev
14ED
Efficient data loading using zeta distributions▲34
2018 · github.com
15PA
Perceptron – Artificial Neural Network Builder▲61
2017 · github.com
16ML
Machine Learning Algorithms▲5
2016 · recalll.co
17OM
Ompr – mixed integer linear programming in R▲39
2017 · github.com
18MA
Markov – A compact C++ library to easily simulate Markov processes▲14
2015 · github.com
19MT
MonkeyLearn – Text Mining Made Easy▲40
2015 · monkeylearn.com
20ML
Machine learning (entirely) in Rust▲20
2016 · github.com
21KA
KeraSH, a ML Framework in Shell▲15
2019 · github.com
22IW
I wrote a minimal deep learning library from scratch in Python▲25
2021 · github.com
23IG
Inference GUIs for 12 SoTA ML models▲9
2020 · gradiohub.com
24PN
PHaker News - A Stupid Markov Chain Experiment▲17
2015 · namuol.github.io

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