Search Results for "32 bit"
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Showing 4 open source projects for "32 bit"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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1
JUnixSocket
Enanced JUnixSocket library
IT'S my personal version of the good library made from Christian Kohlschütter. Major change is a more robust native library loader. The native libraries is now inside the jar. Supported platform: linux (32/64 bit) mac os x (32/64 bit) Use Netbeans 8.2 -
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Cabos
Cross-platform Gnutella file-sharing servent in Xojo with Java backend
...However, Cabos should not fall into desuetude simply because the lead has other projects on his mind; this project is a resurrection and a homage. Like the original Cabos, this continuation is licenced under the GNU General Public Licence. Note: Cabos 0.8.2 and earlier for MacOS is 32-bit only. Cabos is free as in speech and free as in beer. We have a Mercurial repository, so you can work on the source any time! Happy sharing -
3
exdatisSendMail
java example
...lib: https://java.net/downloads/swingx/releases/ http://www.java2s.com/Code/Jar/j/javax.mail.htm http://www.jtattoo.net/Download.html I wrote this using: Scientific linux 6.7 32 bit. Netbeans 8.1 JDK 1.8(Oracle) Test: linux and win7 Problems: see(for gmail) : https://support.google.com/accounts/answer/6010255?hl=en -
4
Coronis SDK
Set of module for data processing of wireless device
The goal is to create a leading “Set of software libraries for data processing of wireless device based on Coronis platform“. These libraries will run on all major platforms (embedded and desktop) and provide services for data processing through generic APIs. Keywords: Coronis, Wavenis, API, Plugin, Wireless, Waveport, Wavecard, Profile, Java, C, C++, C# -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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