Search Results for "run switch miner"

Blazor is a web framework designed to run in the browser on a WebAssembly-based .NET runtime. Blazor Boilerplate aka Blazor Starter Template is a SPA admin template that is able to run both WebAssembly (Core-Hosted) and Server-Side Blazor with a .NET Core 6.0 Server. The default mode for BB is Server Side. To switch to Webassembly log in as Admin and go to settings.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your...

...If you've previously installed create-eth-app globally via yarn global add create-eth-app, we recommend you uninstall the package using yarn global remove create-eth-app and use the yarn create eth-app shorthand to ensure that you use the last version. When you’re ready to deploy to production, create a minified bundle with yarn run react-app:build. You’ll need to have Node 14 or later version on your local development machine (but it’s not required on the server). You can use nvm (macOS/Linux) or nvm-windows to switch Node versions between different projects. You'll also need Yarn on your local development machine. This is because Create Eth App relies on Yarn Workspaces, a feature not supported by Npm.

Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. ...

...And do it all automatically on save or on demand, from an individual file to the entire solution. Visualize and navigate through the contents of your C# and C++ files from a tree view hierarchy. Quickly switch between different sorting methods to get a better overview. Drag and drop to reorganize the code. See McCabe complexity scores and informative tooltips. Reorganize the layout of members in a C# file to follow Microsoft’s StyleCop convention, or your own preferences. Automatically generate regions to match. Run on demand or automatically during cleanup.

...It will create a .realize.yaml file if doesn't already exist, add the working directory as a project and run your workflow.

Eclipse-on-Swing is dedicated to run the Eclipse Platform without the native bindings of SWT, but entirely on Swing. An Eclipse plugin allows the switch between native/non-native state.