Search Results for "virtual-machine" - Page 35
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Showing 2278 open source projects for "virtual-machine"
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
...The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available. -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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Keystone Engine
Keystone assembler framework: Core (Arm, Arm64, Hexagon, Mips, etc.)
Keystone is a lightweight multi-platform, multi-architecture assembler framework. Multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Ethereum Virtual Machine, Hexagon, Mips, PowerPC, Sparc, SystemZ, & X86 (include 16/32/64bit). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in C/C++ languages, with bindings for Java, Masm, Visual Basic, C#, PowerShell, Perl, Python, NodeJS, Ruby, Go, Rust, Haskell & OCaml available. Native support for Windows & *nix (with Mac OSX, Linux, *BSD & Solaris confirmed). ... -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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VM Migration Assistant
Virtual Disk Convert Between VMDK,VHD(X),VDI,QCOW/QCOW2,RAW(IMG)
...For saving time during migration and hypervisor switch, V2V Converter / P2V Migrator enables to convert VMs directly from one hypervisor storage to another, without creating an extra VM disk copy. On top of that, the utility ensures a safe P2V migration by using a VSS snapshot of the source machine to ensure data consistency. -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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Wheefun Emulator Framework
A framework for developing emulators
...It was originally designed to support the WDMF project, which has need for hardware emulation on modern operating systems. However, it could conceivably be used in other projects. At its core, WFEF provides primitives for emulating a generic system bus and for providing access to virtual screens, sound, and input management. From this, a variety of hardware can be virtualized. We aim to also provide hardware emulation for specific commonly used hardware. As game developers are likely to use this software, it is licensed under the GPL V3 with the Classpath Exception. Providers for certain functionality which may only be accessible under NDA (such as for game consoles) may be afforded by externally linking an implementation. -
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usbmuxd
A socket daemon to multiplex connections from and to iOS devices
...Alternatively, just pass a different username using the -U argument. usbmuxd is not used for tethering data transfers which uses a dedicated USB interface to act as a virtual network device. The higher-level layers, especially if you want to write an application to interact with the device, are handled by libimobiledevice. -
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ocapi
C-level driver collection for MSP430 and derivatives
...So it should work, no matter if you live in the Windows, Linux or Mac world. ocapi is used as the hardware abstraction layer for the MSP430 port of the Takatuka Java virtual machine (JVM). Before it can be used, the library must be built from the sources provided here. The build environment allows for fine grained configuration of the library's functionality and target system. -
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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. It works even if some values are unknown, such as file and network I/O. For example, any if or switch conditional with an unknown value results in both branches being taken. ... -
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Serial Console (sc)
Minimal terminal program to get access to a serial console
serialconsole (sc) is a minimal terminal program allowing to use one machine to access the serial console of another machine. -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. ... -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
...Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like Google Colab. However, you can do them either on your local machine or by using services such as mybinder or sciserver which allow a full juypterhub experience with the ability to view and edit text files. Below we give links to the tutorials that should directly work in Google Colab, however. -
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SageMaker Containers
Create SageMaker-compatible Docker containers
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. -
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RISC-V BOOM
SonicBOOM: The Berkeley Out-of-Order Machine
The riscv-boom project (also called BOOM or SonicBOOM) implements a high-performance, synthesizable out-of-order RISC-V core written in the Chisel hardware construction language. It targets the RV64GC (i.e. 64-bit with general + compressed + floating point) instruction set and supports features such as virtual memory, caches, atomics, and IEEE-754 floating point. The design is parameterizable, meaning users can tune pipeline widths, buffer sizes, functional units, and other microarchitectural knobs to explore tradeoffs. It is capable of booting Linux and running standard benchmarks, and its performance (measured in CoreMarks/MHz) is competitive with commercial cores. ... -
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Boss Engine
8-bit Graphical API for Java
Boss Engine is a graphical API for writing low-resolution 8-bit color applications. It offers easy to use functions for handling graphics, basic i/o and more. Screen access is performed through virtual framebuffers that allow direct read/write access to indexed color screen data. API is coded entirely with native libraries. No third party libraries required. -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
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MssCF
Mark Stephen Sobkow's Code Factory
...Each cartridge of rules in the knowledge base defines the code to be produced for a particular language, tool, or combination thereof. A cartridge can also integrate the rules from other cartridges, so you can create a virtual cartridge that will produce all the code to support a given software stack that the rules provide. MSS Code Factory takes over the duties of the junior programmer on large database integration projects, whose primary task is to follow the templates provided by the application architect and senior systems analysts. If you can provide a template, it is usually possible to define rules to produce code following the template. ... -
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End-To-End
End-To-End is a crypto library to encrypt, decrypt, digital sign
End-to-End was a client-side encryption project that prototyped OpenPGP-compatible, end-to-end encrypted messaging in the browser. The idea was to move cryptographic operations entirely to the user’s machine—key generation, encryption, and signature—so messages remain unreadable to intermediaries. It packaged a JavaScript crypto library, UI elements, and a browser extension workflow that could integrate with webmail-style UIs without server changes. The codebase emphasized careful key handling, usability experiments around key discovery and verification, and mitigations against common web threats like XSS. ... -
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VHD2ISO
VHD to ISO converter
This tool convert a virtual haddisk to an bootable iso file. -
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Multrin
Organize apps windows in tabs like in abandoned Windows Sets and more
...Multrin works currently only on Windows and macOS. Support for Linux coming soon. Before running Multrin in development mode, please ensure you have Node.js installed on your machine. When running on Windows, make sure you have build tools installed. You can install them by running as an administrator. -
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IntrOS
Free cooperative operating system designed for microcontrollers
Free, simple and tiny cooperative operating system (OS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8, AVR8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
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StateOS
Free real-time operating system designed for microcontrollers
Free, extremely simple, amazingly tiny and very fast real-time operating system (RTOS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
