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Andrew Z 2023-04-26 06:05:15 -04:00
parent 28ad96fd82
commit c1407550df
4 changed files with 7 additions and 7 deletions
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2
applicationFeed-lastUpdated.json
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@ -1,3 +1,3 @@
{
"last_updated_timestamp": 1682496273
"last_updated_timestamp": 1682503513
}

2
applicationFeed-raw.json
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@ -268719,7 +268719,7 @@
"Support": "https://www.codeproject.com/Forums/1969389/Artificial-Intelligence",
"Project": "https://www.codeproject.com/ai/docs/",
"Overview": "Fast, free, self-hosted Artificial Intelligence Server for any platform, any language.\r\nCodeProject.AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. No off-device or out of network data transfer, no messing around with dependencies, and able to be used from any platform, any language. Runs as a Windows Service or a Docker container.\r\n\r\nThe Docker GPU version is specific to nVidia's CUDA enabled cards with compute capability >= 6.0\r\nIt may take some time to install as the image takes up a few GB of space!\r\n\r\nOne among many examples of use: it can be easily integrated in AgentDVR Video Surveillance Software for face or object recognition.",
"WebUI": "http://mininas:[PORT:32168]",
"WebUI": "http://[IP]:[PORT:32168]",
"TemplateURL": "https://raw.githubusercontent.com/alexbn71/unraid-templates/master/CodeProject.AI_Server/CodeProject.AI_ServerGPU.xml",
"Icon": "https://codeproject.freetls.fastly.net/App_Themes/CodeProject/Img/logo250x135.gif",
"ExtraParams": "--gpus all",

6
applicationFeed.json
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@ -1,7 +1,7 @@
{
"apps": 2062,
"last_updated_timestamp": 1682496273,
"last_updated": "2023-04-26 04:04",
"last_updated_timestamp": 1682503513,
"last_updated": "2023-04-26 06:05",
"categories": [
{
"Cat": "Backup:",
@ -268881,7 +268881,7 @@
"Support": "https://www.codeproject.com/Forums/1969389/Artificial-Intelligence",
"Project": "https://www.codeproject.com/ai/docs/",
"Overview": "Fast, free, self-hosted Artificial Intelligence Server for any platform, any language.\r\nCodeProject.AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. No off-device or out of network data transfer, no messing around with dependencies, and able to be used from any platform, any language. Runs as a Windows Service or a Docker container.\r\n\r\nThe Docker GPU version is specific to nVidia's CUDA enabled cards with compute capability >= 6.0\r\nIt may take some time to install as the image takes up a few GB of space!\r\n\r\nOne among many examples of use: it can be easily integrated in AgentDVR Video Surveillance Software for face or object recognition.",
"WebUI": "http://mininas:[PORT:32168]",
"WebUI": "http://[IP]:[PORT:32168]",
"TemplateURL": "https://raw.githubusercontent.com/alexbn71/unraid-templates/master/CodeProject.AI_Server/CodeProject.AI_ServerGPU.xml",
"Icon": "https://codeproject.freetls.fastly.net/App_Themes/CodeProject/Img/logo250x135.gif",
"ExtraParams": "--gpus all",

4
old-applicationFeed-raw.json
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@ -247347,7 +247347,6 @@
],
"downloads": 133885,
"stars": 1,
"LastUpdate": 1682139866,
"trending": 0.79,
"trends": [
0.764,
@ -247366,6 +247365,7 @@
133885
],
"LastUpdateScan": 1682489072,
"LastUpdate": 1682139866,
"FirstSeen": 1674687857,
"topTrending": 0.026000000000000023
},
@ -283032,7 +283032,7 @@
"Repository": "https://raw.githubusercontent.com/giganode/corsairpsu-unraid/master/corsairpsu.plg",
"Plugin": true,
"pluginVersion": "2023.03.26e",
"MinVer": "6.12.0-beta7",
"MinVer": "6.11.5",
"Overview": "A plugin that reads the statistics from supported Corsair PSUs with a USB port and displays them in the dashboard.",
"templatePath": "/tmp/GitHub/AppFeed/templates/giganodesRepository/corsairpsu.xml",
"CategoryList": [