David Thrower

This may make a suitable base model, but may need further preprocessing: ```python3 import tensorflow as tf from minbpe import GPT4Tokenizer from keras_nlp.models import GPT2Preprocessor class TextEncoderLayer(tf.keras.layers.Layer): def __init__(self, #...

Best thus far: this and one other: https://github.com/david-thrower/cerebros-core-algorithm-alpha/tree/76f5a9b5bec17409efcfc6cec74526ed530a9fec 0.6 Dropout

Paired with: Tabular binary classification in the Cerebros UI (We should be able to hyperparam tune this on the UI based system)

@sashakolpakov, One thought I have is that I just wonder if it is possible to quantize (or z / t / min-max scale) the series to coerce it to 32...

I added a CICD test for this benchmark. Let's pray that this will run on the Github test server in a workable time. If not, we may need to make...

Here is what I did: I added the tensorflow datasets to a separate requirements file, which I should also do later on with tensorflow-text and other ancillary requirements ... I...

To reply to your question: "Also complains no CUDA. Please instruct the course of action." - This should be only a warning, which stf will throw whenever it is running...

@sashakolpakov No problem, I was loading everything into the same requirements.txt as well. This commit just happened to be the one where I caught on to the fact that I...

@sashakolpakov , This is what I had to do on the efficientnet cifar10 example. For showcase examples, definitely full - scale is awesome, but for the CICD tests, the test...

Approved to merge this use case in, but given the scale of compute required, it may be infeasible to have as a routine CICD test for now.