Search Results for "acme cross-assembler code"

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Showing 2 open source projects for "acme cross-assembler code"

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Rev Your Digital Product Delivery Engine
Enterprise-grade platform designed to connect strategy, planning, and execution across digital product development and software delivery

Planview links your technology vision directly to teams' daily work, providing complete visibility and control over your digital product delivery ecosystem.

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Composable, Open Source Payments Platform
Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.

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Rubix ML

A high-level machine learning and deep learning library for PHP

Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot of power and complexity. Write less code and iterate faster leaving the hard stuff to us. ...

Downloads: 3 This Week

Last Update: 2025-10-01
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2

Real-ESRGAN ncnn Vulkan

NCNN implementation of Real-ESRGAN

Real-ESRGAN ncnn Vulkan is an optimized, cross-platform implementation of Real-ESRGAN using the ncnn neural network inference engine and Vulkan for hardware acceleration. Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python.

Downloads: 82 This Week

Last Update: 2025-12-11
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