Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. SINGA has a well-architected software stack and easy-to-use Python interface to improve usability. It parallelizes the training and optimizes the communication cost to improve training scalability. It also builds a computational graph to optimize the training speed and memory footprint. Hence, it would be great if the capabilities of MindsDB and Apache SINGA come together to solve bigger ML problems through their robust training models.
Motivation
Apache SINGA comprises of the following features:
Easy Installation
Provides a Model Zoo
Supports Distributed Training across multiple GPUs
Automatic Gradient Calculation
Memory Optimization
Parameter Optimization and so on.
All these features, when combined with the robustness of MindsDB, can enhance the credibility and usability of ML models leading to more excellent user focussed results based on near-to-accurate predictions.
Implementation
The Apache SINGA Getting Started guides can be referenced as an initial reference point. Also, Apache SINGA has its API Reference Docs that supports the Python API which would be helpful while building this integration.
:loudspeaker: Additional rewards :trophy:
Each integration brings 7️⃣ points and entry into the draw for a :point_down: :
To participate in the prize draw, you need to complete this form with your contact details and links to all your merged PRs or no-code deliverables. Please submit the form once with all your contributions listed.
Is there an existing integration?
Use Case
Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. SINGA has a well-architected software stack and easy-to-use Python interface to improve usability. It parallelizes the training and optimizes the communication cost to improve training scalability. It also builds a computational graph to optimize the training speed and memory footprint. Hence, it would be great if the capabilities of MindsDB and Apache SINGA come together to solve bigger ML problems through their robust training models.
Motivation
Apache SINGA comprises of the following features:
All these features, when combined with the robustness of MindsDB, can enhance the credibility and usability of ML models leading to more excellent user focussed results based on near-to-accurate predictions.
Implementation
The Apache SINGA Getting Started guides can be referenced as an initial reference point. Also, Apache SINGA has its API Reference Docs that supports the Python API which would be helpful while building this integration.
:loudspeaker: Additional rewards :trophy:
Each integration brings 7️⃣ points and entry into the draw for a :point_down: :
To participate in the prize draw, you need to complete this form with your contact details and links to all your merged PRs or no-code deliverables. Please submit the form once with all your contributions listed.