Search Results for "optimize"
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Showing 48 open source projects for "optimize"
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Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
...It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. ... -
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Intel RealSense
Intel® RealSense SDK
Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras. The SDK allows depth and color streaming and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer... -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators... -
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QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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BitNet
Inference framework for 1-bit LLMs
BitNet (bitnet.cpp) is a high-performance inference framework designed to optimize the execution of 1-bit large language models, making them more efficient for edge devices and local deployment. The framework offers significant speedups and energy reductions, achieving up to 6.17x faster performance on x86 CPUs and 70% energy savings, allowing the running of models such as the BitNet b1.58 100B with impressive efficiency. -
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Bolt NLP
Bolt is a deep learning library with high performance
Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as 2012 Laboratory, CBG and HUAWEI Product Lines. ... -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and s390x—and works on major operating systems like Linux, macOS, Windows, FreeBSD, Android, and iOS. Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. ... -
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Easy Bulk GIF Optimizer
Optimize all your animated gifs in one go. Over 50% reduced filesize.
# Easy Bulk GIF Optimizer - Automatic Batch Compressor Reduce the filesize of MANY animated gif files by even 50% with minimal quality loss! All at once, automatically. Effortlessly optimize all your animated GIFs with this user-friendly batch processing tool! Powered by Gifski. ## Features: - Simple drag-and-drop interface - no command line knowledge required! - Batch process multiple animated GIFs at once! - Adjustable quality settings (1-100) for precise control - Offline functionality - no internet connection needed! ... -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Battery Optimizer
Helps to improve the life expectancy of an electronic device's battery
The creation of this device is in response to the overcharging issue that electronic devices with lithium ion batteries face. Most electronic devices when charged to 100 percent will continue to receive power from their charger, overtime this will slowly degrade the life expectancy of the lithium ion battery in the electronic device. The Battery Optimizer aims to increase the life expectancy of a lithium ion battery in an electronic device by automatically stopping power being fed to... -
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EG ClamNet Antivirus
A simple antivirus that provide a graphical interface for ClamAV
...It also protects from MS Office macro viruses, mobile malware, other threats (including known ransomware). 2) Cleaner: EG ClamNet Antivirus has an additional feature of effective cleaning of junk files. With this feature you can optimize your system, increase memory space and system speed by cleaning junk files. Cleaning such junk files improves your system's security and speed-up your system. -
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Horizon's Auto Clicker
Don't click by yourself. Let us do it for you. No need to optimize.
With this application you will save lots of time. It's free forever. No need to optimize like other auto clicker applications. This program made by: UfukGames -
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Horizon's Macro
Don't click by yourself. Let us do it for you. 15 CPS guarantee.
With this application you will save lots of time. It's free forever. No need to optimize like other macro applications. This program made by: UfukGames -
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LightSeq
A High Performance Library for Sequence Processing and Generation
Lightseq is a high-performance library focused on efficient inference and training for deep learning models, especially large language models (LLMs) and transformer-based architectures. Its goal is to optimize both memory usage and computational throughput, enabling faster training or inference on limited hardware while maintaining model quality. Lightseq provides optimized CUDA kernels, quantization strategies, and runtime optimizations tailored for transformer operations — which often are bottlenecks in conventional frameworks — thereby reducing memory footprint, improving speed, and making deployment of large-scale models more accessible. ... -
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NoisePage
Self-Driving Database Management System
...Our research focuses on building the system components that support such self-driving operations with little to no human guidance. We seek to create a system that not only able to optimize the current workload, but also to predict future workload trends and prepare itself accordingly. Our plan is for NoisePage to support the most common database tuning techniques without requiring humans to determine the right way and proper time to deploy them. It will also enable new optimizations that are important for modern high-performance DBMSs. -
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WebSocket ++
C++ websocket client/server library
...In its most common configuration full featured network I/O is provided by the Asio Networking Library. Bundled config packages provide sane defaults so most users can get started quickly. As they understand their solution better and want to optimize, the default components can be reconfigured or replaced entirely and transparently. -
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SINGA
A distributed deep learning platform
Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. Various example deep learning models are provided in SINGA repo on Github and on Google Colab. SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc. SINGA records the computation graph and... -
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Tracing Framework
Web Tracing Framework libraries and extensions
The Web Tracing Framework (WTF) is an open source suite of tools, libraries, and visualizers created by Google to help developers analyze and optimize the performance of complex web applications. By adding lightweight instrumentation to their code, developers can trace execution flow, identify bottlenecks, and detect performance regressions. The framework provides fine-grained insights into application behavior, making it particularly useful for achieving smooth, high-performance experiences, such as maintaining 60fps animations in web interfaces. ... -
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Hardcoder
Hardcoder is a solution which allows Android APP and Android System
...At the same time, due to the lack of implementation by the standard interface, the APP and the system can also realize the model adaptation and function expansion through the framework. Hardcoder framework can averagely optimize the performance of Wechat by 10%-30% in terms of Wechat startup, video delivery, mini program startup, and other highly-loaded scenes. Furthermore, it could also averagely optimize the performance of Mobile QQ by 10%-50% in terms of mobile QQ startup. -
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NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
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NNVM
Open deep learning compiler stack for cpu, gpu
The vision of the Apache NNVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models into minimum deployable modules. Infrastructure to automatically generates and optimize models on more backend with better performance. Compilation and minimal runtimes commonly unlock ML workloads on existing hardware. Automatically generate and optimize tensor operators on more backends. Need support for block sparsity, quantization (1,2,4,8 bit integers, posit), random forests/classical ML, memory planning, MISRA-C compatibility, Python prototyping or all of the above? ... -
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Application to optimize DNA sequences coding protein to put in in the different organizm (f.e. human protein in E.Coli). It proposes the optimal cutting places to connect many shorter fragments into bigger one using ligaze.
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OptimAutoCor
Optimize autocorrelation function for natural number series
These programs are used to find best permutations of natural nubers series, which have minimal maximum of autocorrelation function. -
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Scanned Image Extractor
Extract images contained in scans
...The tool also allows to extract scans of multiple single photographs (i.e. without album) Find a full documentation here: http://dominik-ruess.de/scannerExtract/ Note: The scanning itself is the most time consuming part. Maker sure you optimize that process. (see some hints on the link above.) Hint: **I NEED YOUR DATA**. If you have scans which won't be recognized well give me these (If they're not too personal etc - I won't use it for anything else than to improve this software). You might be interested in my other photography project (organize photographs and videos): https://sourceforge.net/projects/pivot-photo/ -
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BinMatrix
BinMatrix is a class to operating and storing binary matrices
BinMatrix is a class to operating and storing binary matrices. Each BinMatrix object represent a binary matrix. Supported operations are OR,AND, product and power among others. This class is intented to be used inside a C++ program.
