Algorithmia

Algorithmia

Algorithmia is a company building a marketplace and common API for algorithms.

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Edits on 31 Jan 2020
Carla Faraguna
Carla Faraguna approved a suggestion from Golden's AI on 31 Jan 2020 9:46 pm
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It supports multiple languages including Python, Scala, R, Java, JavaScript, and RubyRuby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

Edits on 30 Jan 2020
Dawson Sewell"Approved suggestion #716386"
Dawson Sewell edited on 30 Jan 2020 11:34 pm
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Edits on 27 Sep 2019
Golden AI
Golden AI edited on 27 Sep 2019 8:42 pm
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Edits on 5 Jun 2019
Jude Gomila
Jude Gomila approved a suggestion from Golden's AI on 5 Jun 2019 10:11 pm
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It supports multiple languages including Python, Scala, R, JavaJava, JavaScript, and Ruby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

Will Suter
Will Suter approved a suggestion from Golden's AI on 5 Jun 2019 7:20 pm
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Article

Algorithmia offers the AI Layer as a way to operationalize machine learning life cycles. It helps models get into production and ready to scale. When a pre-trained model, function, or algorithm is git-pushed, it automatically creates a versioned, permissioned, scalable API endpoint any application or model can call. It also offers an automatic model versioning for better governance and works with hundreds of framework combinations including TensorflowTensorflow, PyTorch, Scikit-learn, or MXNet.

Edits on 5 Jun 2019
Will Suter
Will Suter approved a suggestion from Golden's AI on 5 Jun 2019 7:18 pm
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Article

It supports multiple languages including PythonPython, Scala, R, Java, JavaScript, and Ruby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

Will Suter
Will Suter approved a suggestion from Golden's AI on 5 Jun 2019 7:15 pm
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Article (+10/-10 characters)

Article

It supports multiple languages including Python, Scala, R, Java, JavaScriptJavaScript, and Ruby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

Will Suter
Will Suter approved a suggestion from Golden's AI on 5 Jun 2019 7:15 pm
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Article

Algorithmia is a company building a marketplace and common API for algorithms. The company was founded in 2013 and is based in SeattleSeattle.

Jude Gomila
Jude Gomila approved a suggestion from Golden's AI on 4 Jun 2019 9:27 pm
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Article

It supports multiple languages including Python, ScalaScala, R, Java, JavaScript, and Ruby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

Jude Gomila
Jude Gomila approved a suggestion from Golden's AI on 4 Jun 2019 9:27 pm
Edits made to:
Article (+7/-7 characters)

Article

Algorithmia offers the AI Layer as a way to operationalize machine learning life cycles. It helps models get into production and ready to scale. When a pre-trained model, function, or algorithm is git-pushed, it automatically creates a versioned, permissioned, scalable API endpoint any application or model can call. It also offers an automatic model versioning for better governance and works with hundreds of framework combinations including Tensorflow, PyTorchPyTorch, Scikit-learn, or MXNet.

Edits on 4 Jun 2019
Rahul Abhyankar
Rahul Abhyankar edited on 4 Jun 2019 3:28 pm
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Algorithmia

AlgoritmaAlgorithmia is a company building a marketplace and common API for algorithms.

Article

Algorithmia is a company building a marketplace and common API for algorithms. The company was founded in 2013 and is based in Seattle.

Algorithmia offers the AI Layer as a way to operationalize machine learning life cycles. It helps models get into production and ready to scale. When a pre-trained model, function, or algorithm is git-pushed, it automatically creates a versioned, permissioned, scalable API endpoint any application or model can call. It also offers an automatic model versioning for better governance and works with hundreds of framework combinations including Tensorflow, PyTorch, Scikit-learn, or MXNet.

It supports multiple languages including Python, Scala, R, Java, JavaScript, and Ruby, and allows tuning ML portfolios by running models on GPUs or CPUs as required. It also allows reusing modular ML components, and optimization of performance by caching frequently used components.

...

Model Deployment Coaching allows moving ML into production with the help of a deployment engineer.White glove engineering support is provided where enterprise customers receive onramp training, access to a Learning Management System, a support SLA, an account manager, and priority support queueing.

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Edits on 29 May 2019
Golden AI
Golden AI edited on 29 May 2019 1:04 pm
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Golden AI
Golden AI edited on 29 May 2019 12:34 pm
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Golden AI"Import data"
Golden AI edited on 3 Feb 2019 5:39 pm
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Edits on 30 Jan 2019
Baye Maniago"Approved suggestion from source: http://blog.algorithmia.com"
Baye Maniago approved a suggestion from Golden's AI on 30 Jan 2019 3:23 am
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Edits on 23 Jan 2019
Golden AI"Import data"
Golden AI edited on 23 Jan 2019 11:13 pm
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Edits on 10 Jan 2019
Golden AI
Golden AI edited on 10 Jan 2019 9:43 am
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Edits on 5 Dec 2018
Golden AI"Import data"
Golden AI edited on 5 Dec 2018 2:00 am
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Edits on 19 Jul 2018
Golden AI"Update locations in infobox"
Golden AI edited on 19 Jul 2018 9:15 pm

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Edits on 16 Jul 2018
Golden AI"Update markets in infobox"
Golden AI edited on 16 Jul 2018 11:56 pm