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Based on our record, Unity Machine Learning should be more popular than Google Cloud Dataflow. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I am considering creating a reinforcement library for raylib similar to Unity ML Agents, but better. Source: 7 months ago
Unity can build a stand-alone application or be used as a library. Javascript is deprecated, and Boo along with it although it was never really supported to begin with. Various types of machine learning are supported through the ML-Agent Toolkit and pretty well documented. The toolkit has a Python API but you should be careful about doing anything too unusual in Unity because the documentation tends to have a lot... Source: about 1 year ago
"ML-agents" is a interface between unity as a physics simulation environment and a predefined pytorch project for AI training. Transform values (position, rotation etc) and image buffers are exchanged as training input. When finished, you can load the model directly in unity for inference -> "execution" -> no need for python code anymore. Https://unity.com/products/machine-learning-agents. Source: about 1 year ago
Does Unreal offer a better support than Unity regarding Machine Learning? Unity offers ML Agents, is there anything similar on UE 5.1? ( https://unity.com/products/machine-learning-agents ). Source: about 1 year ago
Unity has collaborated with OpenAI a few times now. https://unity.com/products/machine-learning-agents that is the place to start. There are also a lot of articles online on how to use neural networks with Unity. Source: over 1 year ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
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