Search Results for "optimize" - Page 8
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Showing 336 open source projects for "optimize"
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YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. Prepare your own dataset with images and labels first. For labeling images, you can use tools like Labelme or CVAT. One more thing worth noting is that you should also implement pull_item and load_anno method... -
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OpticSim.jl
Optical Simulation software
OpticSim.jl is a Julia package for geometric optics (ray tracing) simulation and optimization of complex optical systems developed by the Microsoft Research Interactive Media Group and the Microsoft Hardware Architecture Incubation Team (HART). It is designed to allow optical engineers to create optical systems procedurally and then to simulate and optimize them. Unlike Zemax, Code V, or other interactive optical design systems OpticSim.jl has limited support for interactivity, primarily in the tools for visualizing optical systems. A large variety of surface types are supported, and these can be composed into complex 3D objects through the use of constructive solid geometry (CSG). ... -
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Cerberus
Patterns for responsive HTML email templates and newsletters
Coding regular emails is hard enough by itself. Making them responsive shouldn’t add to the headache. A few simple, but solid patterns are all that’s needed to optimize emails for small screens. It’s just a few responsive email patterns that go a long way. The code blocks are compartmentalized so they may be used, removed, combined, and nested to build an email. Each template contains code comments and has good support among popular email clients. Cerberus is a small collection layout patterns for HTML email. ... -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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Hugging Face Transformer
CPU/GPU inference server for Hugging Face transformer models
Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. -
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Squoosh Desktop App
Optimize, resize, compress and convert your images
Multiplatform desktop app to optimize, resize, compress and convert your images. -
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Algobot
Cryptocurrency trading bot with a graphical user interface
Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote trading. Please note that Algobot requires TA-LIB. You can view instructions on how to download TA-LIB. For Windows users, it's best to download the .whl package for your Python install and pip install it. For Linux and MacOS users, there's excellent documentation available. -
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mysqly
PHP data framework for Mysql
Full-featured opensource small-overhead PHP data framework for Mysql built for fast and efficient development -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training... -
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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AWPS
A Modern WordPress Starter Theme for savvy Developers
AWPS is a modern WordPress starter theme designed for developers who want a streamlined, modular approach to WordPress theme development. It incorporates best practices with a focus on maintainability and performance. -
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Gluon CV Toolkit
Gluon CV Toolkit
...From fundamental image classification, object detection, semantic segmentation and pose estimation, to instance segmentation and video action recognition. The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework. -
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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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Laravel Deployer
Zero-downtime deployment out-of-the-box
Laravel Deployer is a lightweight wrapper of Deployer.org giving Artisan the power of zero-downtime deployment. Runing php artisan deploy:init your.hostname.com -a, will set you up with everything without asking you any questions. Using the -f option will optimize the configuration file for servers that are maintained by Laravel Forge. Before starting you first deployment, you should go check your config/deploy.php file to make sure it suits your deployment flow. For example, the local strategy calls the build hook in a task that is ran locally whereas the basic strategy calls the build hook directly on the host. ... -
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Fast Elixir
Writing Fast Elixir. Collect Common Elixir idioms
...By showcasing side-by-side examples, it highlights not only which approaches are faster but also why certain functions or techniques should be preferred in different scenarios. The repository is designed as a practical reference for developers who want to optimize Elixir applications without diving into premature micro-optimizations. Its goal is not just speed but also clarity, ensuring that performance improvements do not come at the cost of readability and maintainability. With continuously updated examples, Fast Elixir helps both beginners and experienced Elixir programmers adopt better habits and avoid slow patterns. -
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Gap-SPH
Basic SPH solver for 3D subsonic fluid flow models
...Viscosity is updated every half-time step to account for nonlinear behavior of one of the phases and all solid boundaries are modeled using the virtual particle method. A basic all-pair search algorithm is used to determine pair lists. The purpose of this self-contained solver is to further develop the code to optimize it to the case of river bedload dynamics. Parallel programming directives have been added where applicable. No GUI for pre- or post- processing is provided yet. -
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Finala
Finala is an open-source resource cloud scanner
Finala is an open-source cloud resource scanner that detects and reports on unused or wasteful cloud assets, helping organizations reduce unnecessary expenses and optimize their infrastructure footprint by continuously analyzing deployed resources against user-defined rules. It scans cloud environments, identifies idle or underutilized machines, unattached storage, or resources not aligned with utilization policies, and presents actionable insights that help teams reclaim budget and compliance. Users define scanning criteria and thresholds in configuration files to tailor detection to their operational needs, making Finala flexible across different organizational scales and cloud setups. ... -
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TMC compiler
Translator from restricted matlab to C
Open-source tool to convert/port/migrate/optimize Octave/MATLAB(R) written projects to C-code. Consists of C-code generator and run-time support library. Support a subset of MATLAB (R) language and an extendable set of in-build functions. Git Repository: https://github.com/csafonov/tinymc -
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AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each... -
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vue-admin-template
A vue2.0 minimal admin template
vue-element-admin is a production-ready front-end solution for admin interfaces. It based on vue and use the UI Toolkit element-ui. It is a minimal vue admin template with Element UI, axios, iconfont, permission control, and lint. The current version is v4.0+ build on vue-cli. If you want to use the old version , you can switch branch to tag/3.11.0, it does not rely on vue-cli. If you want router permission && generate menu by user roles , you can use this branch permission-control. For... -
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Strategems
Quantitative systematic trading strategy development and backtesting
...While this package remains early in development, with time the hope is to be able to rapidly implement a trading idea, construct a historical backtest, analyze its results, optimize over a given parameter set, and visualize all of this with great detail. -
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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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Simplify
Android virtual machine and deobfuscator
Simplify virtually executes an app to understand its behavior and then tries to optimize the code so that it behaves identically but is easier for a human to understand. Each optimization type is simple and generic, so it doesn't matter what specific type of obfuscation is used. Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. -
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...•Feature On Alive Kernel• -Based on caf kernel linux Stable -Merged with new tag caf latest -OC to 2.2Ghz -Battre Friedly -Better Performance -Add more governor ~Nightmare ~Darknessv5 ~Alucard ~and more -Undervolt Cpu Gpu -80mV -Add Cpu Bost Control and More Control -Add Cpu hotplug -Add Gpu boost -Add New battery Calculation -Add Fast Charging and On/Off Charging -Add Sound Control -Add Kcal Support and more option -Add I/O Tweak and more scheduler -Lmk Optimize (4/6Gb Ram varian) -Add Boeffla Wakelocks -Add WireGuard -Optimize Zram for battery saving -Tcp Algorithm Optimize -Much More
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Dosage form optimizer
Optimize dosage form based on R models (ANN, GP, FL)
Software delivers the possibility of automatic dosage form optimization based on R models. Up to now, 4 different modules are available and allow user to exploit R models created with monmlp, neuralnet, rgp, and fugeR tools. -
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PBTK Optimizer
Application for optimization of parameters in PBTK models
...Other parameters can be determined through in-vitro experiments or through extrapolation using published equations. When it is impractical to use these methods to estimate a parameter, techniques can be used to optimize parameters so that model results best fit validation data. This tool was designed to optimize a user-specified list of parameters to a user-specified PBTK model. The user also controls validation data and optimization algorithms. In addition to optimized parameters, the tool outputs statistical information about the fit of the optimized model.
