Top 34 Artificial Intelligence Project Ideas (With Source Code) In a Glance From fake news detection to stock price prediction, these 34 AI topics for projects aim to give you hands-on experience with AI’s core concepts. By working on them, you’ll explore useful libraries and develop apra...
The source filter creates samples and outputs it from its output pin. A BSTR Wrapper for Operations with Binary Data by George Anescu Presenting a C++ class for correct operations on BSTR strings with binary data contents A C++ Firefox component intercepting/operating HTML DOM by Jia.Chen This ...
appmesh-virtual-node-backend-defaults-tls-on appmesh-virtual-node-logging-file-path-exists appmesh-virtual-node-tagged appmesh-virtual-router-tagged appmesh-virtual-service-tagged approved-amis-by-id approved-amis-by-tag apprunner-service-in-vpc ...
The source code, naturally. CodeProject.AI Server can currently Detect objects in images Detect faces in images Detect the type of scene represented in an image Recognise faces that have been registered with the service Perform detection on custom models The development environment also provides modul...
Amazon S3 on Outposts Amazon S3 Tables Amazon SageMaker AI AWS::SageMaker::App AWS::SageMaker::AppImageConfig AWS::SageMaker::Cluster AWS::SageMaker::CodeRepository AWS::SageMaker::DataQualityJobDefinition AWS::SageMaker::Device AWS::SageMaker::DeviceFleet AWS::SageMaker::Domain AWS::SageMaker::En...
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Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growingecosystem of community integrations. Install Ray with:pip install ray. For nightly wheels, see theInstallation page. Today's ML workloads are increasingly compute-intensive. As convenient as they are, single-...
Ubuntu Server is the reference operating system for the OpenStack project, and a hugely popular guest OS on AWS, Azure and Google Cloud. Ubuntu is pre-installed on computers from Dell, HP, Asus, Lenovo and other global vendors. We hope Ubuntu will bring something wonderful to your computing...
On the Device page, you can configure the following options: C interleaved in PTXAS Output –This setting chooses whether or not to insert source code into generated PTX. Code Generation –This option specifies the names of the NVIDIA GPU architectures to generate code for. If you click Edit...
Run inference on medical imaging ML models trained with the InnerEye-DeepLearning toolkit. GitHub Who can benefit from Project InnerEye Open-Source Tools? Medical imaging and clinical researchers, including at Academic Medical Centers, can focus on their research by using InnerEye OSS tools to...