cerebros-core-algorithm-alpha
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david-thrower
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategi...
#When text generation POC is complete and ready to merge in, add credits to the training data sources in readme.md ## Datasets being used thus far: - https://archive.org/details/holy-bible-king-james-version-without-chapters-verses-footnotes_202307 ## Candidates...
Copy #229 and scale up params for a real HPO run.
# The problem - Unfortunately, we can't use a separate dataset for the x and y args for tf.keras.Model.fit(). - This makes us unable to run this on out of...
# From #212 (Optimizations to proof of concept generative model) - [x] Manual first pass optimizations of the projection layers after the embedding. (e.g. parameterize it) - [x] Fix logic...
# A comprehensive list of issues needed to solve to develop a generative loop from our text classification model. ## Don't create a branch or merge from this. The individual...
[slight] Scale up of hyperparameter optimization for Ames: For #201 we did job # https://github.com/david-thrower/cerebros-core-algorithm-alpha/actions/runs/17167525228/job/48711011448 (on a separate branch). We found an optima for the first Ames script out of...
Fixed out of range values in p_lateral_connection. New optima for all other parameters based on their interdependence.
fix hyperparameter optimization: Out of range values for p_lateral_connection.
# To readme.md and our website, add an improvement to how we frame our company values: ## Our Values 1. **Radical Integrity: Uncompromising honesty in everything we do.** 2. **Non-Incremental...
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The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategi...