Search Results for "gpu max performance" - Page 12
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Showing 388 open source projects for "gpu max performance"
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JAMon API
Monitor Java applications - SQL, HTTP, Methods, Exceptions and more.
JAMon API is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor the performance and scalability of production applications. JAMon tracks hits, execution times (total, avg, min, max, std dev), and more. * JAMon Users Manual: For more on the JAMon, including installing, configuring, and using it, see http://jamonapi.sourceforge.net/ -
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Big Sleep
A simple command line tool for text to image generation
...You can set the number of classes that you wish to restrict Big Sleep to use for the Big GAN with the --max-classes flag as follows (ex. 15 classes). This may lead to extra stability during training, at the cost of lost expressivity. -
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feathersui-starling
User interface components for Starling Framework, ActionScript 3
Feathers UI (Starling edition) is a lightweight, open-source library of user interface components designed specifically for use with the Starling Framework. It allows ActionScript developers to build GPU-accelerated interfaces for games and applications that run on desktop and mobile platforms. With a focus on performance and flexibility, Feathers UI includes buttons, sliders, lists, navigators, and layout containers optimized for Starling's rendering pipeline. -
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MoCo v3
PyTorch implementation of MoCo v3
MoCo v3 is a PyTorch reimplementation of Momentum Contrast v3 (MoCo v3), Facebook Research’s state-of-the-art self-supervised learning framework for visual representation learning using ResNet and Vision Transformer (ViT) backbones. Originally developed in TensorFlow for TPUs, this version faithfully reproduces the paper’s results on GPUs while offering an accessible and scalable PyTorch interface. MoCo v3 introduces improvements for training self-supervised ViTs by combining contrastive... -
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Robust Video Matting (RVM)
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and matting quality. ... -
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Skija
Java bindings for Skia
Skija is a high-performance, Java bindings library for the Skia graphics engine, allowing JVM and Kotlin applications to access the full capabilities of Skia’s 2D GPU-accelerated graphics without writing native code. Skia is the same graphics engine used in Chrome, Android, Flutter, and other platforms, and Skija leverages this robust foundation to provide fast rendering of paths, text, images, transformations, filters, and animations within desktop and embedded Java environments. ... -
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Cuda Simulated Annealing GPU Route Plan
An Optimized GPU-Accelerated Route Planning of Multi-UAV Systems Using
An Optimized GPU-Accelerated Route Planning of Multi-UAV Systems Using Simulated Annealing Article CUDA CODE Usage of multiple unmanned aerial vehicles (UAV) in a certain mission makes flight route planning more complicated and slower. In order to obtain better performance, in the literature, most of the researchers propose using evolutionary algorithms and artificial intelligence approaches based on heuristics as optimization techniques. -
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.... # Set max Threads in maxThr # # # Update v0.2 # add error handler # add adjustable thread nummbers # add filewalker mode for send lokal files to PACS # add bundled dcm4che toolkit
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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YOLOv4-large
Scaled-YOLOv4: Scaling Cross Stage Partial Network
YOLOv4-large is an open-source implementation of the Scaled-YOLOv4 object detection architecture, designed to improve both the accuracy and scalability of real-time computer vision models. The project provides a PyTorch implementation of the Scaled-YOLOv4 framework, which extends the original YOLOv4 architecture using Cross Stage Partial (CSP) networks and new scaling techniques. Unlike earlier object detection systems that only scale depth or width, this architecture scales multiple aspects... -
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jetson-ffmpeg
ffmpeg support on jetson nano
...It requires building both the library and a patched version of FFmpeg to fully enable hardware features. Overall, it extends FFmpeg functionality to better suit embedded GPU-powered environments. -
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Cxbx-Reloaded
Xbox (Original) Emulator
Cxbx-Reloaded is an open-source emulator that enables original Xbox games and software to run on modern Windows systems and compatible environments like Wine. It aims to recreate the Xbox hardware and software stack through a combination of high-level and low-level emulation techniques, including kernel emulation and GPU translation layers. The project is notable for its focus on compatibility and accuracy, with ongoing efforts to expand the number of playable titles and improve performance. It supports Direct3D-based rendering and integrates networking features to emulate Xbox system behavior more realistically. Unlike simpler emulators, Cxbx-Reloaded includes deep reverse engineering of the Xbox kernel and system APIs, allowing it to execute games without requiring the original console firmware in many cases. ... -
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sc
Common libraries and data structures for C
Portable, stand-alone C libraries and data structures. Each folder is stand-alone with a single header/source pair in it. There is no build for libraries, just copy files you want. e.g If you want the logger, copy sc_log.h and sc_log.c to your project. High performance & minimal memory usage. Portability between many operating systems and architectures. Tests with 100% branch coverage and multiple sanitizers. Drag & drop source code distribution. There is 100% branch coverage on Linux.... -
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Rad Kernel (whyred)
Custom kernel for whyred (Redmi Note 5 Pro/AI)
RAD Kernel is a custom linux kernel for whyred (Redmi Note 5 Pro/AI) that contains all features you need and aims for best balance between performance and battery. -
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Arduino HomeKit ESP8266
Native Apple HomeKit accessory implementation for the ESP8266 Arduino
This Arduino library is a native Apple HomeKit accessory implementation for the ESP8266 Arduino core and works without any additional bridges. This project is mainly based on an esp-home kit for ESP-OPEN-RTOS. I ported the RTOS-based implementation of the esp-home kit to the pure Arduino environment, aimed at easy and fast building projects using Arduino IDE (or Eclipse with sloeber, PlatformIO). Enjoy the "one-key" build, "one-key" upload, and work to link various other Arduino libraries... -
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Mi A1: LuciferKernel
Linux 4.9 Kernel for Xiaomi Mi A1 aka Tissot
Join official telegram group: https://t.me/luciferkernel Kernel stage Changed to Beta. Features: →Added F2FS Rapid Gc. → CPU OC to 3.1Mhz (OC Build Only) → GPU OC to 850Mhz (OC Build Only) → Reduced GPU idle time to 64ms → Added DTS-Eagle. → CPU undervolted upto 10% → Improved thermals. → Added Sound tweaks. → Added Boeffla Wakelocker → Added State Notifier → Added Adreno Idler → Added Adreno Boost → Added dynamic SchedTune boost. → Added Klapse → Added KCAL → Added BFQ I/O scheduler →Upstreamed to 4.9.232 →Added gcam7+ support (experimental) thanks to @mtpiplod →Fixed certain errors →Built with Proton Clang 12 For Non-OC except Overclocked CPU , GPU and some performance schedulers everything is same -
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ATOM-X-KERNEL EAS
ATOM-X-KERNEL EAS KERNEL
AtomX kernel always aims best performance and battery backup balance on a certain SoC and device . -
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TurboTransformers
Fast and user-friendly runtime for transformer inference
TurboTransformers is a high-performance inference framework optimized for running Transformer models efficiently on CPUs and GPUs. It improves latency and throughput for NLP applications. -
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TensorLayer
Deep learning and reinforcement learning library for scientists
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass tutorials and applications. TensorLayer is awarded the 2017 Best Open Source Software by the ACM Multimedia Society. This project can also be found at OpenI and Gitee. 3.0.0 has been pre-released, the current version... -
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MyCAT
Active, high-performance open source database middleware
MyCAT is an Open-Source software, “a large database cluster” oriented to enterprises. MyCAT is an enforced database which is a replacement for MySQL and supports transaction and ACID. Regarded as MySQL cluster of enterprise database, MyCAT can take the place of expensive Oracle cluster. MyCAT is also a new type of database, which seems like a SQL Server integrated with the memory cache technology, NoSQL technology and HDFS big data. And as a new modern enterprise database product, MyCAT is... -
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macOS Simple KVM
Tools to set up a quick macOS VM in QEMU, accelerated by KVM
...The repository includes tools for preparing installation media, configuring virtual hardware, and managing VM launch scripts. By using KVM acceleration, the virtual machine runs with near-native performance, making it useful for testing, development, or personal experimentation. The project also supports GPU passthrough and other advanced configurations for users who want a more optimized macOS VM environment. While primarily intended for educational and testing purposes, it demonstrates how macOS can be virtualized outside of Apple hardware. -
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*/ Fiency - Kernel */ Supported Android Version : > Only Android Q for now. There are 2 Variants Refresh Rate : > 60Hz > 65Hz (Only Amenotejikara) > noMI : CPU 1.9Ghz, GPU 585Mhz, Undervolted < For Battery Backup > > KatamaRi : CPU 2.2Ghz, GPU 585Mhz, as usual < Daily Use> > AmenoteJikara : CPU 2.2Ghz, GPU 900Mhz < For Better Performance > #TeamFiency
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Tone.js
A Web Audio framework for making interactive music in the browser
...It has common DAW (digital audio workstation) features for those looking to schedule events and tinker with pre-built synths and effects. There’s also a great selection of high-performance building blocks for signal-processing programmers familiar with languages like Max/MSP. With Tone.js they can create their own synthesizers, effects, and complex control signals. -
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FIENCY KERNEL FOR ASUS ZENFONE MAX PRO M2 > KatamaRi Variant 2.2Ghz CPU n 585Mhz GPU Kernel Timer Freq 300Hz Same as usually kernel > noMi Variant 1.9Ghz CPU n 585Mhz GPU Undevolted Kernel Timer Freq 100Hz
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CUDAnative.jl
Julia support for native CUDA programming
The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager.
