Search Results for "free gpu"
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Showing 13 open source projects for "free gpu"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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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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noUiSlider
JavaScript range slider with multi-touch and keyboard support
...Have you tried this documentation on your phone? It can be used for free and without any attribution, in any personal or commercial project. An extensive documentation, including examples, options and configuration details, is available in the website. GPU animated, no reflows, so fast; even on older devices. All modern browsers and IE > 9 are supported. -
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DirectX-Graphics-Samples
Samples that demonstrate how to build graphics intensive applications
This repo contains the DirectX 12 Graphics samples that demonstrate how to build graphics-intensive applications for Windows 10. In the Samples directory, you will find samples that attempt to break off specific features and specific usage scenarios into bite-sized chunks. For example, the ExecuteIndirect sample will show you just enough about execute indirect to get started with that feature without diving too deep into multiengine whereas the nBodyGravity sample will delve into multiengine... -
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Best-of Machine Learning with Python
A ranked list of awesome machine learning Python libraries
This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning... -
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OpenCost
Cost monitoring for Kubernetes workloads and cloud costs
OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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FurMark
GPU stress test OpenGL and Vulkan graphics benchmark Windows/Linux
...FurMark rendering is designed to overheat the GPU making it a viral-like stability and stress test tool (also called GPU burner) for the graphics card. -
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HeavyLoad
Free stress test tool for your PC
HeavyLoad is a stress-testing tool by JAM Software that evaluates a computer’s performance by placing high loads on various system components, including CPU, GPU, RAM, and hard disk. It’s designed to test system stability under extreme conditions, useful for assessing reliability and identifying potential hardware bottlenecks or failures. -
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on... -
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Intel neon
Intel® Nervana™ reference deep learning framework
...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 backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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WebGL Heatmap
A high performance WebGL/JS heatmap display library
...Because most work happens on the GPU, it scales well as the number of points grows and remains interactive for animations, live telemetry, or dynamic overlays. The library focuses on visual quality, producing anti-aliased, blur-free gradients that look good at various zoom levels and resolutions. It fits well into data-viz stacks where you need a responsive heat layer on top of maps, charts, or custom canvases, and it is compact enough to embed in dashboards and demos without heavy dependencies. -
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qemu
My changes to qemu for legacy free GPU passthrough
My changes to qemu for legacy free GPU passthrough. Only one adapter can use legacy vga regions at same time. This is an attemp to achieve a qemu gpu passthrough without legacy vga accesses to graphics card. Legacy io accesses to vga registers are replaced through MMIO accesses. Legacy accesses to vga memory are replaced through accesses to plain framebuffer. -
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gpufsknn
A GPU-based efficient data parallel formulation of the kNN problem
A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc. -
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AntiPython-AI-Compiler-Colab
Google Colab GPU access in your favorite programming language
AntiPython Colab is a source to source compiler that let's you build AI in Java, Rust, JavaScript, Flutter, C#, Go, Ocaml(and etc...) utilizing free Google Colab GPUs! It's blazingly fast and very robust as it uses websockets and the Treesitter C library under the hood.
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