make any model uncertainty-aware.

Know when your model does not know.

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Themis AI makes any ML model uncertainty-aware with a single line of code, automatically empowering it to provide only the results you desire.
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Capsa, A GENERAL uncertainty estimation FRAMEWORK.

import torch 
import capsa_torch

_model = Model()

# Wrap your model
model = capsa_torch.wrapper(_model)

# Your model is now uncertainty-aware
pred, risk = model(input, return_risk=True)
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import tensorflow as tf 
import capsa_tf

# Add a decorator
@capsa_tf.Wrapper()
@tf.function
def model(...):
    ...

# Your model is now uncertainty-aware
pred, risk = model(input, return_risk=True)
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Capsa, our proprietary technology, is built to be compatible with any ML model, seamlessly working in a matter of seconds at any stage of development. Capsa allows any ML model to recognize when it is delivering unreliable outputs, ensuring consistent high-quality results.

import torch import capsa_torch      _model = Model ()     model = capsa_torch.wrapper (_model)    pred, risk = model (input, return_risk=True) import tensorflow as tf import capsa_tf   @capsa_tf.Wrapper ()   @tf. function def model (...):   pred, risk = model (input, return_risk=True)
import tensorflow as tf import capsa_tf   @capsa_tf.Wrapper ()   @tf. function def model (...):   pred, risk = model (input, return_risk=True) import torch import capsa_torch      _model = Model ()     model = capsa_torch.wrapper (_model)    pred, risk = model (input, return_risk=True)

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Seamlessly make your technology reliable.

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