Auger is a machine learning platform from DeepLearning that helps automate the model development process. It provides data visualization, automated feature engineering, and model evaluation so users can accelerate their machine learning projects. The platform supports various data sources and integrates with popular tools to facilitate collaboration among data science teams. Auger also offers automated hyperparameter tuning to improve model performance efficiently. Key capabilities: data visualization automated feature engineering model evaluation hyperparameter tuning tool integration Best for: data scientists and machine learning engineers that need to simplify their model development workflows.
Does Auger have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
10
1. TensorFlow: A popular open-source machine learning framework developed by Google
used for deep learning tasks such as neural network training and deployment.
2. Keras: An easy-to-use deep learning library that runs on top of TensorFlow
providing a high-level interface for building and training neural networks.
3. PyTorch: Another open-source deep learning framework that is widely used for research and production applications
known for its flexibility and dynamic computation graph.
4. MXNet: A deep learning framework that supports both symbolic and imperative programming
optimized for performance on various hardware architectures.
5. Caffe: A deep learning framework popular for its speed and scalability
particularly well-suited for convolutional neural networks used in image recognition tasks.
USD ($), EUR (€), GBP (£), AUD (A$), CAD (CA$), JPY (¥), CHF (Fr.), CNY (¥), INR (₹), MXN (Mex$), SGD (S$), KRW (₩), RUB (₽), BRL (R$), TRY (₺), ZAR (R)
Email Address
support@verticrete.comContact
+1 (555) 123-4567Documentation
https://verticrete.com/docs/augerCommunity Forums
https://community.verticrete.comChatbot
Available