Differentiable architecture search for convolutional and recurrent networks
Design and optimize advanced neural network architectures for image classification and language modeling using gradient techniques.
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Free · no card · unsubscribe anytimeDifferentiable architecture search for convolutional and recurrent networks
darts has 4k stars on GitHub. It has been forked 838 times. darts is written mainly in Python. It has been in active development since 2018. darts is available under the Apache-2.0 license. Its main topics are automl, convolutional-networks, deep-learning, image-classification.
Differentiable architecture search for convolutional and recurrent networks
darts is an open-source project. It is released under the Apache-2.0 license.
Yes. darts is free and open source — you can use, modify and self-host it.
darts is available under the Apache-2.0 license.
darts is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.