Search Results for "qualcomm"
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Showing 18 open source projects for "qualcomm"
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Agentic AI SRE built for Engineering and DevOps teams.NeuBird AI's agentic AI SRE delivers autonomous incident resolution, helping team cut MTTR up to 90% and reclaim engineering hours lost to troubleshooting.
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The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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AIMET
AIMET is a library that provides advanced quantization and compression
...AIMET enables neural networks to run more efficiently on fixed-point AI hardware accelerators. Quantized inference is significantly faster than floating point inference. For example, models that we’ve run on the Qualcomm® Hexagon™ DSP rather than on the Qualcomm® Kryo™ CPU have resulted in a 5x to 15x speedup. Plus, an 8-bit model also has a 4x smaller memory footprint relative to a 32-bit model. However, often when quantizing a machine learning model (e.g., from 32-bit floating point to an 8-bit fixed point value), the model accuracy is sacrificed. -
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NVTOP
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel
...Currently supported vendors are AMD (Linux AMD GPU driver), Apple (limited M1 & M2 support), Huawei (Ascend), Intel (Linux i915 driver), NVIDIA (Linux proprietary divers), and Qualcomm Adreno (Linux MSM driver). -
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mllm
Fast Multimodal LLM on Mobile Devices
mllm is an open-source inference engine designed to run multimodal large language models efficiently on mobile devices and edge computing environments. The framework focuses on delivering high-performance AI inference in resource-constrained systems such as smartphones, embedded hardware, and lightweight computing platforms. Implemented primarily in C and C++, it is designed to operate with minimal external dependencies while taking advantage of hardware-specific acceleration technologies... -
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PugzAreCute - Builds
All android builds of pugzarecute are hosted here. Have fun!
All android builds of pugzarecute are hosted here. Have fun! Telegram: https://t.me/pugzsbuilds -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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...The main purpose of this project is to bring extra updates to the existing Octave OCL project with more supporting PC devices like Intel GPU, AMD APUs, and Apple Silicon GPU as well as mobile devices like Qualcomm Adreno and ARM Mali GPUs. Due to the fact tremendous time and energy has been spent on its working on many devices, the project name is changing to AnyArray to reflect it is really working on many devices in 9 March 2026. Ever since started providing extra GPU Compute support, it has been for OpenCL-enabled hardware and this promise will not change for OpenSource community. ...
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Kompute
General purpose GPU compute framework built on Vulkan
General purpose GPU compute framework built on Vulkan to support 1000s of cross-vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU data processing use cases. Backed by the Linux Foundation. -
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Paranoid Android OnePlus SM8250
https://t.me/ParanoidAndroidOP8
Instructions: - Be on OOS 13.1.0.581 or .582 firmware with an unlocked bootloader - Have the OnePlus/Qualcomm fastboot and the latest Google ADB Interface drivers installed, along with the latest official Android SDK Platform tools - Download the recovery, boot it with "fastboot boot path/to/recovery.img" - Navigate to adb sideload with the volume keys and press the power button - Run "adb sideload /path/to/aospa.zip" - Wipe data using the volume and power keys if coming from another rom and reboot -
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Custom Roms, Magisk Modules, Custom Recoverys For The Xiaomi Mi 11 Ultra (star/mars) Specs: -Qualcomm SM8350 (Snapdragon 888) - Ram 8/12/16GB - Storage 128/256/512GB - Battery 5000mAh
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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Samsung Galaxym51
Samsung Galaxym51
Samsung Galaxym51 -
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HERMES Mail
The cult-favourite eMail client formerly known as Qualcomm Eudora
...With over 100 man-years of development time behind it and a clean, intuitive interface that makes handling messages a breeze, Hermes Messenger (formerly known as QUALCOMM Eudora) is more than a way to send and receive mail: it's a powerful management tool with features to increase your productivity and enhance your communications. It is the best eMail program for people who get lots of it. If you're not yet one of them, you soon will be. Take control of your eMail before it takes control of you! ... -
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Yocto Linux for SYS6440
Smartplay's Yocto build based Linux distribution on InForce SYS6440
SmartPlay Technologies project for Yocto build based Linux distribution on InForce(R) SYS6440 platform using the Qualcomm(R) Snapdragon(TM) – APQ8064. Release highlights: · First Yocto build based Linux distro on Qualcomm(R) 8064 reference platform. · Sato UI environment with Poky based Yocto Project 1.5 - Dora. · Based on the Linux Kernel v3.4 from Code Aurora Forum, and proprietary firmware from Inforce(R) SYS6440 Android BSP Rel v1.5 · X11 and Wayland/ Weston 1.4 support · Hardware accelerated graphics using open source Freedreno and Mesa libraries · Hardware video playback using gst-omx on gstreamer 1.0 and libhybris · UI based Audio playback · Wifi using QCA6234x Please refer readme.txt packaged in the release binaries SP_Linux_SYS6440_rls_1.0.0.tar.gz for steps to flash and execute released features. ... -
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linuxDrvStudy
linux driver study
a code tree to study linux driver step by step. This driver is compiled in a android project based on Qualcomm company -
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Aurora ICS u8800
Android build for u8800 from Qualcomm Code Aurora open source.
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XT603
3G-CDMA mobile phone based on Android OS with Qualcomm Qchat
This is a 3G-CDMA mobile phone based on Android OS with Qualcomm Qchat capability -
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GNU/Linux driver for Qualcomm FLASH-OFDM devices, known as Flarion, available as PCMCIA card, USB modem (Qleadtek) and Express-Card (Qleadtek).
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QCP Link is a small set of command line utilities which interact with Qualcomm Phones. We're starting with the QCP-2760 model. The utilities read the configuration/phonebook from the phone via the serial interface and write it to a file and vice versa.
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HERMES Eos
An eMail client in C for the Mac, based on QUALCOMM Eudora.
Aiming to pick up shortly after QUALCOMM Eudora 6 for the Mac left off, this project aims to produce, in the short-to-medium term, an advanced POP/IMAP client in C with a Carbon front-end, making it compatible with Intel machines running macOS Mojave and older, and targeting power users first and foremost. Medium-to-long term, it is anticipated that the graphical user interface will be rewritten to leverage Cocoa rather than Carbon, enabling compatibility with post-Mojave Intel machines, and all Apple Silicon (ARM64) machines. ...
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