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Big-data company Databricks Inc. today updated its MLflow machine learning toolkit with support for the R programming language and other new features aimed at boosting its utility. Databricks had ...
MIcrosoft is joining a growing movement to make machine learning an open source option for developers. The software giant announced today that its machine learning toolkit, DMTK, is now available ...
With the toolkit, classroom teachers, school and district teams, piloting organizations and edtech companies can access a wide range of resources from Learning Assembly organizations to advance their ...
Microsoft today launched version 2.0 of what is now called the Microsoft Cognitive Toolkit. This open-source toolkit, which was previously known as CNTK, is Microsoft's competitor to similar tools ...
The connector enables companies to use external AI development frameworks such as TensorFlow and Python machine learning libraries. The toolkit isn’t SnapLogic’s first foray into AI.
Microsoft has now open sourced its Computational Networks Toolkit (CNTK) and made it available for anyone to use in their own work on GitHub.
Amazon releases Deep Java Library (DJL), providing Java developers a jumpstart with deep learning.
Microsoft took another step on its open-source sharing journey Monday by releasing on GitHub a toolkit it uses internally for deep learning.
“Koogu isn’t a toolkit just for whale calls – [it is] just a convenient way to build machine learning solutions – anything from whales to birds as well as insects,” Madhusudhana said.
The toolkit utilizes a non-autoregressive deep generative model to address the protein inverse folding problem, integrating human expertise into the design loop for efficient and effective protein ...
The toolkit utilizes a non-autoregressive deep generative model to address the protein inverse folding problem, integrating human expertise into the design loop for efficient and effective protein ...
The toolkit utilizes a non-autoregressive deep generative model to address the protein inverse folding problem, integrating human expertise into the design loop for efficient and effective protein ...
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