Datatron vs Torch
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. | Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. |
A powerful N-dimensional array;
Lots of routines for indexing, slicing, transposing;
Amazing interface to C, via LuaJIT;
Linear algebra routines;
Neural network, and energy-based models;
Numeric optimization routines;
Fast and efficient GPU support;
Embeddable, with ports to iOS and Android backends | Explore models built and uploaded by your Data Science team, all from one centralized repository; Create and scale model deployments in just a few clicks. Deploy models developed in any framework or language; Make better business decisions to save your team time and money. Monitor model performance and detect model decay as it happens; Spend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than ever; Manage multivariate models through A/B testing for live inference and batch tasks; Apply business logic to your model prediction results. Create workflows for your models using multiple sources and languages |
Statistics | |
GitHub Stars 9.1K | GitHub Stars - |
GitHub Forks 2.4K | GitHub Forks - |
Stacks 355 | Stacks 0 |
Followers 61 | Followers 10 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Torch, Datatron?
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Google App Engine
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Red Hat OpenShift
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Hasura
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Jelastic
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