daviddoji/vanilla-machine-learning
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ritchie46 ae25756427 gp pymc3 notebook init
2019-08-14 09:02:46 +02:00
bayesian
vi post
2019-06-12 09:50:25 +02:00
clustering
expectation_maximization
2019-05-24 13:31:53 +02:00
ensembles
remove flaw from gbm code
2019-01-01 12:19:55 +01:00
gaussian_processes
gp pymc3 notebook init
2019-08-14 09:02:46 +02:00
generative-adversary-networks
dcgan
2018-07-17 12:03:41 +02:00
genetic_algorithms
Reasonable bridge. And validation almost working. Maybe binary tree adding?.
2018-01-04 18:17:43 +01:00
linear_regression
policy network openai gym flagpole
2017-10-31 22:30:20 +01:00
logistic_regression
log regression formula update
2017-11-15 13:26:45 +01:00
reinforcement_learning
ga bridge
2017-12-26 13:48:09 +01:00
seq2seq
update seq2seq training
2019-02-20 11:40:27 +01:00
time_series
prophet pymc3 update
2018-10-10 17:03:02 +02:00
training_bayesian
fix errors in bayesian introduction training
2019-06-15 11:07:21 +02:00
.gitignore
don't ignore png files
2018-09-24 14:44:24 +02:00
functions.py
readme
2017-09-03 12:50:43 +02:00
readme.md
expectation_maximization
2019-05-24 13:31:53 +02:00
simple_mlp.py
learning for both nn working
2017-07-01 12:01:07 +02:00
vanilla_logistic_regression.py
logistic regression
2017-09-10 13:54:17 +02:00
vanilla_mlp.py
vanilla_mlp
2017-07-13 11:28:12 +02:00

readme.md

Various machine learning algorithms. Mostly vanilla.

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Readme 15 MiB
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Jupyter Notebook 99.6%
Python 0.4%