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ritchie46 5ae93a9a6a lsh notebook
2020-05-15 10:36:15 +02:00
bayesian
add vae notebook
2020-03-27 09:33:43 +01:00
clustering
expectation_maximization
2019-05-24 13:31:53 +02:00
collaborative_filtering
svd tinkerings
2020-03-10 15:28:50 +01:00
ensembles
remove flaw from gbm code
2019-01-01 12:19:55 +01:00
gaussian_processes
add kernel information for gps in GPy notebook
2019-08-16 16:30:21 +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
imputation
init svd imputer
2019-09-09 09:07:15 +02:00
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
nearest_neighbors
lsh notebook
2020-05-15 10:36:15 +02:00
neural_networks
refactor
2019-09-07 14:45:59 +02:00
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
trainings
add variation inference training given to core team
2020-03-27 09:34:57 +01:00
.gitignore
don't ignore png files
2018-09-24 14:44:24 +02:00
readme.md
bayesian optimization finished
2019-09-07 14:36:50 +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%