Search Results for "linux vmware image" - Page 27
Sort By:
Showing 980 open source projects for "linux vmware image"
View related business solutions-
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
multibootusb
Create multi boot live Linux on a USB disk...
Multi Boot USB / MultiBoot USB / MultiBootUSB is a software / installer which allows user to install multiple Live Linux Distros in to a single USB drive / Pendrive / Flash drive and able to boot from it. USB can be tested without reboot using inbuilt QEMU. -
2
WeChat Jump Game
WeChat "Jump Jump" Python Assist
WeChat Jump Game is a Python automation project for the WeChat mini game “Jump Jump.” It uses screenshots, image recognition, and distance estimation to calculate how long the screen should be pressed for each jump. The project was created as a technical experiment around a popular 2.5D timing game where the character must jump from one platform to another. It supports automatic play, allowing the script to detect positions and control jumps through connected-device tooling. The repository... -
3
WidgetArea
WidgetArea is a small simple application that enables you to use image
WidgetArea is a small simple application that enables you to use images on your hard drive and display them as widgets on your desktop. NOTE: WidgetArea doesn't fully support GIF animations. Mac Usage Instructions: Click the upload image or drag and drop an image there to display in a new window. To close the newly opened image press "CMD+W". To quit WidgetArea press "CMD+Q" To move the image just drag it anywhere on the screen. Yes, you can resize added images in this... -
4
Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
Deepo
Set up deep learning environment in a single command line
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment, supports almost all commonly used deep learning frameworks, supports GPU acceleration (CUDA and cuDNN included), also works in CPU-only mode, and works on Linux (CPU version/GPU version), Windows (CPU version) and OS X (CPU version). Their Dockerfile generator that allows you to customize your own environment with Lego-like modules, and automatically resolves the dependencies for you. For users in China who may suffer from slow speeds when pulling the image from the public Docker registry, you can pull deepo images from the China registry mirror by specifying the full path, including the registry, in your docker pull command. ... -
6
WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching... -
7
NOTE: the project has moved to https://scipy.org/scipylib/ --- go there to find latest versions. This sourceforge project contains only old historical versions of the software. SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
-
8
httpbin
HTTP request and response service, written in Python + Flask
httpbin is a HTTP request & response service. It is written in Python and Flask. With the HTTP methods you can test different HTTP verbs. You also have auth methods, status codes to generate responses with given status code, request inspection features to inspect the request data, response inspection to inspect the response data like caching and headers. The response formats feature returns responses in different data formats, the dynamic data feature generates random and dynamic data. You... -
9
Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
10
Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a... -
11
FFmpeg Docker image
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch
FFmpeg Docker image is a collection of Docker images that provide prebuilt FFmpeg environments for media processing, encoding, and streaming tasks. The project compiles FFmpeg from source and packages it with various configurations and dependencies, enabling users to run FFmpeg without installing it directly on their systems. It supports multiple base operating systems such as Ubuntu, Alpine, and CentOS, offering flexibility depending on deployment needs. The images are designed for... -
12
Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, Composight is a collection of small and simple apps that have already been successfully used to...
-
13
Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image. -
14
A performance and usability focused Linux distribution based on 64-bit Debian testing. It is the successor to illume OS. To use the live ISO image, login to "root" with the password "antorca".
-
15
asif
Arch-Linux Simple Install Framework
A simple cursor-based step by step install program enveloping the basic Archlinux installation process. It is used with Archlinux installation ISO image, in x86_64 live system only. The asif-pkg.tar shipping with packages does not require a network connection. The asif.tar needs a network connection, and please remember to configure your /etc/pacman.d/mirrorlist. f2fs and MVNe support is added. I will update the UI to make it selectable later. Sorry I got no spare time for... -
16
Neural Photo Editor
A simple interface for editing natural photos
Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways. Instead of editing images by directly manipulating pixels, the software allows users to influence... -
17
Gnuplot Editor
Interactive gnuplot script editor
Ever needed to tweak a gnuplot script and got annoyed by constantly changing the script file, run gnuplot and display the resulting image? The gnuplot editor generates a preview of the plot for every change you make and quickly allows to show the created image file with a simple keystroke. Lines with errors are highlighted in the code and gnuplot output is shown in a separate widget. In addition it features all basic editor options, syntax highlighting and menu macros for often used gnuplot options. ... -
18
PdfCMYKerLite
PdfCMYKerLite - inspect and remix CMYK separations of PDF file
PdfCMYKerLite is a wxPython GUI front-end for Ghostscript `gs` and ImageMagick `convert`, which uses the Ghostscript tiffsep device to obtain CMYK separations of a PDF document. For full description, see README.md in the code browser at https://sourceforge.net/p/pdfcmykerlite/code/ci/master/tree/ -
19
Developer's Image Library
A full featured cross-platform image library
Developer's Image Library (DevIL) is a cross-platform image library utilizing a simple syntax to load, save, convert, manipulate, filter and display a variety of images with ease. -
20
Neural Enhance
Super Resolution for images using deep learning
Neural Enhance is an archived deep-learning project for increasing image resolution through neural super-resolution. It can generate enlarged images at 2x or potentially higher scales by synthesizing details learned from training images. The generated details are plausible rather than exact reconstructions of information missing from the original picture. Pretrained models support photo enhancement and JPEG artifact repair. Users can also train custom networks with perceptual and adversarial... -
21
NeuralTalk2
Efficient Image Captioning code in Torch, runs on GPU
NeuralTalk2 is a Torch-based image-captioning system that generates natural-language descriptions for images with neural networks. It improves on the original NeuralTalk implementation through batching, GPU acceleration, and a more efficient training pipeline. The model combines convolutional neural network image features with a recurrent neural network language model. It supports fine-tuning the underlying CNN instead of relying only on fixed visual features. Training and evaluation tools... -
22
Inferact
File-tagging tool coded in Python.
Tag, search (e.g., by similarity), manage data collections of your choosing. Currently optimized for music and image data. Uses sha1 hashes for identification. Please use additional programs such as: IrfanView (http://www.irfanview.com) and MPC (https://mpc-hc.org) for media handling and a console with unicode support, like ConEmu (https://conemu.github.io). -
23
PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high... -
24
Kokua
Kokua is a V3 based open source metaverse viewer project.
Kokua is an open source metaverse viewer project based on the Second Life Viewer source. Disclaimer: This software is not provided or supported by Linden Lab, the makers of Second Life. The goal of Kokua is to greatly improve the usability of the Viewer through community involvement, thoughtful design, modern development methods, and a pro-change atmosphere. -
25
Crazy Eddies GUI System (CEGUI)
A fast, powerful and adaptable GUI solution
Crazy Eddie's GUI (CEGUI) system is a graphical user interface C++ library. It was designed particularly for the needs of videogames, but the library is usable for non-game tasks, such as any other type of applications (rendering/visualisation/virtual reality) and tools. It is designed for user flexibility in look-and-feel, as well as being adaptable to the user's choice in tools and operating systems. Established in 2003, CEGUI sees continual, active development and remains one of the...
