Search Results for "cpu-x" - Page 3
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Showing 336 open source projects for "cpu-x"
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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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KaNaPi
Educational Linux Distribution
Main goals: * Prepare operating system based on Linux kernel and free software for use at home from scratch by building sources. Binary packages/images are also available. * Each package is installed in separate directory, so you can use different versions of applications and libraries by design. * There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc. * Simple configuration * Automatic compilation. -
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HydraDragonAntivirus
Dynamic and static analysis with Sandboxie for Windows, including EDR
Dynamic and static analysis with Sandboxie for Windows, including EDR, ClamAV, YARA-X, custom machine learning AI, behavioral analysis, NLP-based detection, website signatures, Ghidra, Suricata, Sigma, and much more than you can imagine -
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Arianne RPG
Arianne is an engine to develop multiplayer online games like Stendhal
Arianne is a multiplayer online engine to develop turn based and real time games, providing a simple way of creating the game server rules and clients like our MORPG Stendhal. Our engine Marauroa uses Java and SQL for hosting hundreds of players on a solo host. Stendhal is a fun friendly and free multiplayer online adventure game with a huge and rich world. With hundreds of NPCs and different quests, features like the Travel log and achievement system keep track of progress. Thousands of... -
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Raspberry_Quemu_forWindows
This is QEMU virtual machine with Raspbian OS for students KNUCA
Це віртуальна машина QEMU із зібраною операційною системою Raspbian для емуляції Raspberry Pi на Windows 7, 8, 10. Використовується для занять з робототехніки в Київському національному університеті будівництва і архітектури. pi/raspberry -
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vb2py is developing a VB to Python tool for automatically converting VB projects to Python, including both the code and GUI elements. The project is currently focussing on the PythonCard GUI system on the Python side
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PI-Based Image Encoder / Converter
Python code able to convert / compress image to PI (3.14, π) Indexes
...ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! Power Management set as High Performance .. in Balanced is slow) -
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TANGO is an object oriented control system for Linux and Windows. It provides a framework in C++, Java and Python for implementing distributed control objects an accessing them via a well-defined API. This sourceforge project a
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Feisty Meow® Concerns Codebase
The full codebase of Feisty Meow® Concerns Ltd.
Feisty Meow codebase offers a ton of useful bash scripts and implements several C++ libraries and many C++ applications. This is the Sourceforge mirror; visit our main site at: https://feistymeow.org -
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Muse: Middleware Universal Scripting idE
Automate: WebSphere; WebLogic; JBoss; Glassfish; Tomcat; Linux, WinRM
...Tomcat / Glassfish 2 Python - Configuration Snapshots *** Infrastructure-as-Code, Code-Writing-Code Designed to Run on JETPack: https://sourceforge.net/projects/jetpack Muse.2025.06.x - Win 10 / Win11 Muse.2023.12.x - Win7 / Win8 / Win 10 / Win11 -
Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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PyNuker
A stress testing tool written in python.
PyNuker is a network stress testing tool written in python. Because it is written in python it should run equally well on any system that has Python version 3.x installed. It infinitely(until stopped) sends a string of text via a UDP packet to a target computer or network device in an effort to flood the target with so much useless traffic that it stops responding to valid requests. I digitally sign some files in my releases. If you'd like to verify those signatures, you can find my PGP/GPG keys at: https://marcusadams.me/keys.html If you'd like to donate there's several ways to do so: PayPal: https://paypal.me/gerowen Bitcoin (BTC): bc1q86c5j7wvf6cw78tf8x3szxy5gnxg4gj8mw4sy2 Monero (XMR): 42ho3m9tJsobZwQDsFTk92ENdWAYk2zL8Qp42m7pKmfWE7jzei7Fwrs87MMXUTCVifjZZiStt3E7c5tmYa9qNxAf3MbY7rD LiberaPay: https://liberapay.com/gerowen -
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lixa
LIXA, LIbre XA, is a free and open source XA transaction manager
LIXA (LIbre XA) is an open source and free Transaction Manager implementing the distributed transaction processing "XA specification" and "TX (transaction demarcation) specification" according to the X/Open CAE Specification. LIXA implements even XTA: XA Transaction API, an innovative API that implements XA transactional context passing among different applications. LIXA is a Transaction Manager but it's not a Transaction Monitor: this is the distinguishing feature of the project. LIXA technology enables every application container, like a web server or a shell, to become a two phase commit application server. ... -
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pipeless
A computer vision framework to create and deploy apps in minutes
...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,... -
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flom
Free Lock Manager
...libflom, the library shipped with FLoM, allows you to develop your own application using a simple C, C++, Java, Perl, PHP or Python client API. SSL/TLS security for network communication, X.509 certificates for peer to peer mutual authentication. -
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TorBot
Dark Web OSINT Tool
...The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x install.sh Now you can run ./install.sh to create the torBot binary. Run ./torBot to execute the program. Crawl custom domains.(Completed). Check if the link is live.(Completed). Built-in Updater.(Completed). TorBot GUI (In progress). Social Media integration.(not Started). -
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Face Alignment
2D and 3D Face alignment library build using pytorch
Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. However, the users can alternatively... -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t... -
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Yapsy
A fat-free DIY Python plugin management toolkit.
A simple framework for plugin system development with as few dependencies as possible. It is designed to offer a set of very lean classes (plugin managers and plugin interfaces) which can easily be customised by decoration or inheritance. Yapsy v1.x supports Python2 and Python3. Its source package contains versions of the sources for both pythons. Yapsy v2+ supports Python 3 and it's development happens now on https://github.com/tibonihoo/yapsy/ Usage samples, advices and developer's documentations are available on the main website. -
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MAX StressTester
MAX StressTester: Python stress testing tool for max CPU, RAM and Disk
Disclaimer:im still working on this project please provide any feedback of bugs if you want :D helps me improve the experience for others. Also, windows might flag the exe file for a virus as it a python to exe file (might fix it later) this explains why it could be flagged as a virus on some virus detectors: https://s.id/1Cuk1 MAX StressTester is an open-source stress testing tool developed by ssit, available on the popular software development platform, SourceForge. The tool is... -
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DeepCTR
Package of deep-learning based CTR models
...Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based techniques have been widely used in CTR prediction task. The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Since DNN are good at handling dense numerical features,we usually map the sparse categorical features to dense numerical through embedding technique. -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
...Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration. Add V1.3 model, which produces more natural restoration results, and better results on very low-quality / high-quality inputs. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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Appscript is a high level, user-friendly Apple event bridge that allows you to control scriptable Mac OS X applications from Python, Ruby and Objective-C. Appscript makes these languages a serious alternative to AppleScript for automating your Mac.
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
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pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,...
