Keras vs Aquarium: What are the differences?
What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.
What is Aquarium? *Improve Your ML Dataset Quality *. Machine learning models are only as good as the datasets they're trained on
It helps ML teams make better models by improving their dataset quality..
Keras and Aquarium can be categorized as "Machine Learning" tools.
Some of the features offered by Keras are:
- neural networks API
- Allows for easy and fast prototyping
- Convolutional networks support
On the other hand, Aquarium provides the following key features:
- Upload your dataset to get a health check of its quality, quantity, and diversity. Zoom in and out of your dataset. Uncover distribution biases before you train. Find and fix labeling errors quickly
- Upload model inferences against your labeled datasets and deep dive into its performance. Find where your model is performing well and badly so you can take the best actions to improve it
- With knowledge of your dataset diversity and model performance, it automatically samples the best data to sample to label and retrain on. Your model performance just gets better
Keras is an open source tool with 49K GitHub stars and 18.5K GitHub forks. Here's a link to Keras's open source repository on GitHub.
