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Showing 5 open source projects for "processing"
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Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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1
Address_Decode
Decode various cryptocurrency addresses
Address to hash160 is an efficient multi-threaded tool designed to decode various cryptocurrency addresses (such as Bitcoin BTC,Bitcoin Cash BCH, Litecoin LTC, Bitcoin Gold BTG, etc.) to extract hash160 values. It is often used in research such as brainflayer, keyhunt, BitCrack, ecloop, keyhunt cuda, etc. -
2
imgp
Multi-core image resizer and rotator. Go crunch 'em!
imgp is a command line image resizer and rotator for JPEG and PNG images. If you have tons of images you want to resize adaptively to a screen resolution or rotate by an angle using a single command, imgp is the utility for you. It can save a lot on storage too. Powered by multiprocessing, an intelligent adaptive algorithm, recursive operations, shell completion scripts, EXIF preservation (and more), imgp is a very flexible utility with well-documented easy to use options. imgp intends... -
3
gxLibrary : C++ (CUDA+AMP+CPU)
C++ library for easy simulations on any CUDA/AMP/CPU or remote PC
Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for... -
4
AESTextCrypt
Encrypt and decrypt text using AES 256 bit encryption
...It also employs bcrypt, which implements key-stretching and an adaptive key setup phase, the complexity (number of rounds) of which is automatically set to match the processing power of the encrypting computer. This makes it highly resistant to dictionary attack. AESTextCrypt is written in Java, so can be run on all desktop platforms - Windows, Mac and Linux. -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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5
distributedPHP client
A simple script for distributed computing through PHP:
...Examples of use include: distributed math computation, encryption breaking, SETI@home/folding@home (well, if they made the projects in php..) distributed bruteforce attacks, ddos attacks, distributed processing, etc.. distributedPHP client can be configured to distribute computing to scripts written in a language other than php as long as the script supports html form input (or doesn't require input at all).
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