Search Results for "gimp 3 ml"
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Showing 64 open source projects for "gimp 3 ml"
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Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Lux
The Lux Programming Language
... commercial use, and has other conditions which may be undesirable for some. The language is mostly inspired by the following 3 languages. Clojure (syntax, overall look & feel), Haskell (functional programming), and Standard ML (module system). They are implemented as plain-old data-structures whose expressions get eval'ed by the compiler and integrated into the type-checker. The main difference between Lux & Standard ML is that Standard ML separates interfaces/signatures and implementations/structures. -
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Evidently
Evaluate and monitor ML models from validation to production
Evidently is an open-source Python library for data scientists and ML engineers. It helps evaluate, test, and monitor ML models from validation to production. It works with tabular, text data and embeddings. -
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Hummingbird
Hummingbird compiles trained ML models into tensor computation
Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models. Thanks to Hummingbird, users can benefit from (1) all the current and future optimizations implemented in neural network frameworks; (2) native hardware acceleration; (3) having a unique platform to support both traditional and neural network models; and having all... -
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ClearML
Streamline your ML workflow
ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation, while ClearML ensures your work is reproducible and scalable. The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments... -
Engage is a pre-built, intelligent contact center platform that transforms customer service.
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FEDML Open Source
The unified and scalable ML library for large-scale training
... interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds. A typical workflow is shown in the figure above. When a developer wants to run a pre-built job in Studio or Job Store, TensorOperaLaunch swiftly pairs AI jobs with the most economical GPU resources, and auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. -
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Kinetic.jl
Universal modeling and simulation of fluid mechanics upon ML
Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs. -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images... -
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Ufficio Zero Linux OS
Linux Desktop OS for professionals
Ufficio Zero Linux OS is a desktop operating system offered in many versions based on PCLinuxOS, Linux Mint and Devuan. We also have created Duplica, a Bare Metal Restore Solution. This distro has many packages for professional use. The project is managed by the Italian company SIITE SRLS. Ufficio Zero Linux OS is trademarked through the Linux Mark Institute. All rights reserved. Linux® is the registered trademark of Linus Torvalds in the U.S. and other countries. website... -
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Photoshop GIMP Extensions Installer
Installs 180 Photoshop and GIMP Brushes, Plugins + Scripts fast
Photoshop and GIMP Extensions Installer installs + 180 plug-ins, pattern, gradients, curves easy for Photoshop + GIMP with 1 click. Use the Photoshop and GIMP Extensions Installer to choose one or more.... - plugins - brushes - scripts - patterns - gradients ... to install them easily and full-automatically. 1. Choose the version of Photoshop / GIMP 2. Choose a plugin 3. Click on install ++ SYSTEM-Checkup with custom installation folder selection ++ IMPORTER for all kind... -
Collaborate is customizable case management software for non-profits and social services agencies with teams of 5+ staff.
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CruxEX 64 bit Linux Live CD/USB
CruxEX 3.7 64 bit 24/22 Linux Live CD/USB is based on CRUX 3.7
... from RAM. NEWS 221031 Install version 221031 of CruxEX 3.7 64bit to a USB Pen Drive and run the system super fast from RAM. Among all installed and updated applications are Firefox , Google Chrome (for Netflix), NetworkManager, GParted, PCManFM and Gimp. Furthermore compilation tools so that you can install programs from source. NOTE: Google Chrome is not in CRUX repositories. You can run CruxEX also on UEFI enabled computers. Your changes will be saved directly on the stick! -
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Lumi-HSP
This is an AI language model that can predict Heart failure or stroke
Using thsi AI model, you can predict the chances of heart stroke and heart failure. HIGLIGHTS : 1. Accuracy of this model is 95% 2. This model uses the powerful Machine Learning algorithm "GradientBoosting" for predicting the outcomes. 3. An easy to use model and accessible to everyone. -
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Datapipe
Real-time, incremental ETL library for ML with record-level depend
Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing. -
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... collocation BEM coupled with the multi-level fast multipole method (ML-FMM), and to provide add-ons for existing cross-platform applications for the preprocessing of geometrical data and for the visualization of results.
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openbu
Lightweight L5e vehicle with freely accessible engineering documents
... Workbench - Z88 Arion (topology optimization, Freeware) - KiCAD - Gimp - Arduino IDE - CooCox To make the descissions in this project as transparent as possible, all big engineering descissions are evaluated with the following criteria: - efficency - simplicity - safety - maintenance - manufacturability - failure probability - clean and good looking design -
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Delta ML
Deep learning based natural language and speech processing platform
DELTA is a deep learning-based end-to-end natural language and speech processing platform. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. It helps you to train... -
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A Java library to facilitate SED-ML support for systems biology applications to read, validate, edit, and write SED-ML documents in compliance with MIASE guidelines. Also contains modules to execute simulation tasks and produce outputs. This project also contains the SED-ED editor application for SED-ML.
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OWL Machine Learning
Machine learning algorithm using OWL
Feature construction and selection are two key factors in the field of Machine Learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are aggregated, combined or split to create features from raw data. This project makes use of ontologies to automatically generate features for the ML algorithms. The features are generated by combining the concepts and relationships that are already in the knowledge base, expressed... -
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Pearl Linux MATE 6.0 (Artful) Alpha
Deluxe full featured desktop with MATE 18 based on 17.10
Pearl MATE 6.0 (Artful) is based on Ubuntu Artful 17.10 alpha2 release. Pearl MATE desktop we build on the ubuntu mini release add our Pearl Base which is compiled from Linux Mint / Ubuntu MATE with some Pearl Linux enhancements. Here are just a few of Pearl's benefits. Backed by the Ubuntu's main repository for security and updates to the system up and beyond the official 17.10 release date. Because most of the major upgrades are being applied to the official 17.10 ( artful ) release... -
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fantail-mlkit
The fantail machine learning toolkit (Moved)
Moved to https://github.com/quansun/fantail-ml -
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Pearl Linux 3.5
OS X Alternative that installs on most new or old computers
... wallpapers. Save system and make your own Live CD easily with PinguyBuilder backup. Just some of the software included includes; Openshot Video Editor, KODI Media Center with pre-installed addons, Audacity, Ardour 4 Multitrack Studio, Inkscape, GIMP, GNOME maps, Opera and Seamonkey, HPLIP (for HP printers), Poker TH (Texas Holdem), Virtualbox, Google Earth, Skype, Shotwell, Slingcold Launcher plus much more. Easy to install next to windows for your own dual boot windows / linux computer. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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desqchess3
simple chess app
2020: MOVED TO https://github.com/peterjtracey/desqchess -- because it's 2020... Version 3 fork of desqchess. DESQChess will be an easy to use, easy to add on to, easy to animate chess system. Useful for apps, tablets apps, and desktop systems. Plans for other plugins include: - Add plugin to connect to animation system (web GL) - Connect to other open-source software such as Blender, illustrator, GIMP, and Vector graphic manipulation programs. -
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mintyMac-StarStudio
The Complete 64bit Audio and Video Linux Workstation
... included in this multimedia release from mintyMac is a solution for a commercial quality multitrack system that you can count on not just test and play with. The solution is the version of wine (1.7) that is pre installed was running Adobe Audition 1.5 and Fruityloops with no latency issues. Complete iPhone management solution with Banshee for Audio and Shotwell and F-Spot for photos. Some other software included: Audacity, Totem, VLC, Gimp, Chromium, Evolution plus etc See the README file. -
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AdversariaLib is a general-purpose library for the automatic evaluation of machine learning-based classifiers under adversarial attacks. It comes with a set of powerful features: **Easy-to-use**: Running sophisticated experiments is as easy as launch a single script. **Wide range of supported ML algorithms** All supervised learning algorithms supported by scikit-learn, as well as Artificial Neural Networks (ANNs) **Fast Learning and Evaluation** Thanks to scikit-learn and FANN, all supported ML...