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...
This test is based on Sam Blake's preprint "Integer Factorisation, Fermat & Machine Learning on a Classical Computer", arXiv:2308.12290 Detecting the ratio of semiprime factors may theoretically help improving the...
Kind of issue: Documentation Update the Acknowledgements on readme.md Add - Alexander Kolpakov - Keras NLP; open AI
Kind of issue: CICD Environment: Github Can you provide the code or combination of parameters that was involved (if not, its ok)? Default parameters Can you copy and paste in...
Added the use case of semiprime factors ratio detection (potentially useful for Lawrence's algorithm). Uploaded the train/test dataset, too.
Background of the issue: - We have showcase demo scripts for how to use Cerebros and demonstration of SOTA results. - We want to use the same scripts for benchmarks...
Added EfficientNet (v.2, small model) fine-tuning on Cifar-10 using Cerebros / ipynb notebook / py code
Added RegNet fine-tuning on Cifar-100 using Cerebros / ipynb notebook / py code
Added DenseNet fine-tuning on Cifar-100 using Cerebros / ipynb notebook / py code
Added DenseNet fine-tuning on Cifar-10 using Cerebros / ipynb notebook / py code
Fine-tuning EfficientNet on Cifar-100 by using Cerebros.
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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...