cerebros-core-algorithm-alpha
cerebros-core-algorithm-alpha copied to clipboard
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...
Kind of issue: upgrade tensorflow version
Kind of issue: Feature / enhancement; Natural Language Processing. TLDR: - [ ] derive a Keras encoding layer from: https://github.com/karpathy/minbpe/tree/master/minbpe; https://github.com/openai/tiktoken - [ ] Try to bench-mark a model using...
Based on the provided information, here's a step-by-step guide to address the issues and enhance the model: 1. [X] Create a new branch from the specified commit: 2. [X] Duplicate...
Kind of issue: kind/enhancement; R and D Hybridize: #141 and #77
Kind of issue: kind/enhancement R and D
Kind of issue: kind/enhancement; R and D Hybridize Alex's proof of concept for Droupout(0.75) -> Embedding(15 dimensions) with the parameters in [f2fdcf708269fc9c9fd29ababd7b93cdc6f8f834](https://github.com/david-thrower/cerebros-core-algorithm-alpha/commit/f2fdcf708269fc9c9fd29ababd7b93cdc6f8f834) Suggested Labels (If you don't know, that's ok):...
Kind of issue: The botteck on the tandem embeddings may be that the embedding converges to an optima well before dense layers do. Consequently, the embedding gradients will zero out....
Kind of issue: Enhancements Suggested Labels (If you don't know, that's ok): kind/enhancement kind/r-and-d
Metadata
Owner
Metadata
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...