Lion Gate Arena: AI Training Platform

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Data Preparation & Training platform for Machine Learning systems.

The most crucial step in machine learning is preparing the right data for your model and train your model accordingly. Lion Gate Arena helps you to build your data assets and prepare them for different training models. Lion Gate Arena helps you to build central data repo for your different machine learning processes and teams. It seamlessly works with common deep learning platforms such as Tensorflow, Theano, Thorch, Caffee and MXNet.

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the flexible solution for your business

We built a very flexible and extendible data flow and analysis framework for machine learning

Data Asset Management

You can store your data or connect stream resources and build your data assets into authorized repos. Powered by industry standard big data platforms, you can scale up very easily. Through this unified repo, you can store, authorize and classify data assets for multiple users and projects centrally and ensure proper backup and high availability strategies.

Data Preparation

Put your assets into projects and prepare your data for training process, which includes cleaning and sanitizing your data from noise and anomalies. You can put filters on your data to remove unwanted fragments temparing with your data model. Add as much tags as you want and get your data ready to feed into your machine learning model training process.

Data Training

You can build you own data training pipelines on popular platforms such as Tensorflow, Torch, Theano, MXNet and Caffee. You can use same assets for different projects trained on different platforms. Lion Gate Arena utilizes your GPU farms and stores and versions your outputs so that you can use them in your models.

Some of the capabilities of the Lion Gate Arena training platform

we build our dataflow pipeline for Analytic, Real Time Complex Event Processing and Machine Learning/AI applications with Lion Gate Arena to solve real business problems on real use cases.
Here are some of the example use cases

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