Search Results for "cpu" - Page 7
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Showing 1449 open source projects for "cpu"
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UpscalerJS
Image Upscaling in Javascript. Increase image resolution up to 4x
...Scale images up to 4x their original size, all in Javascript. UpscalerJS ships with pre-trained models in the box covering a wide variety of use cases. Or bring your own! Browser, Node (CPU and GPU-accelerated), and Service Worker environments all supported. Supports inputs in a wide variety of formats - URL, HTMLImageElement, and more, and by default exports a base64 upscaled string. Pick your Javascript flavor! UpscalerJS ships with ESM and UMD (browser) and ESM and CJS (Node). Close to 100% test coverage, Typescript support, examples covering a wide variety of use cases, and thick documentation. -
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Dolphin
Dolphin is a GameCube / Wii emulator
...Originally released in 2003, it has evolved into one of the most advanced and widely used emulators, known for its high compatibility and continuous development over decades. The project is written primarily in C++ and focuses on accurately replicating console hardware behavior, including CPU timing, graphics rendering, and input handling, allowing games to run as close to original hardware as possible. Beyond simple emulation, Dolphin enhances the gaming experience by enabling higher resolutions, improved textures, and performance optimizations that surpass the limitations of the original consoles. It supports a wide range of input devices, including keyboards, gamepads, and real GameCube or Wii controllers through adapters and Bluetooth connectivity. -
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SGLang
SGLang is a fast serving framework for large language models
SGLang is a fast serving framework for large language models and vision language models. It makes your interaction with models faster and more controllable by co-designing the backend runtime and frontend language. -
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td
Telegram client, in Go. (MTProto API)
Telegram MTProto API client in Go for users and bots. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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ET-Optimizer
ET is a powerful application to improve performance
ET-Optimizer is a performance optimization tool designed to enhance system responsiveness and efficiency by applying targeted configurations and tweaks to operating system settings and background processes. It focuses on improving performance in specific use cases such as gaming or real-time applications where latency and system overhead are critical factors. The tool typically includes scripts or automated routines that adjust system parameters, disable unnecessary services, and optimize... -
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Windows (Dockur)
Windows inside a Docker container
This project makes it surprisingly easy to run a Windows environment inside a Docker container by using a QEMU-based virtual machine under the hood. It provides a turnkey image and a simple set of environment variables so you can select Windows editions, control disk persistence, and access the VM via a web-based VNC console or similar remote viewers. Because the VM is wrapped in Docker, you can treat Windows as a disposable, repeatable service: create, snapshot with volumes, tear down, and... -
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tilemaker
Make OpenStreetMap vector tiles without the stack
Create the vector tiles on your home machine or using a cloud CPU. Upload the file to your site or app. And that's it. No database to maintain; no contract to pay; and no restriction on commercial use. tilemaker is a single executable that takes OpenStreetMap data and makes it into vector tiles. It's supremely customizable, but if you just want off-the-shelf tiles in a standard style, tilemaker comes bundled with the files to do that too. -
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BTOP++
BTOP++ for Windows
BTOP++ is the Windows port of btop++, bringing the same modern, graphical terminal resource monitor experience to Windows systems. It shows detailed and live statistics for processor usage, memory consumption, disk activity, network traffic, and both processes and services, all in an interactive terminal UI. The project is implemented as a native Windows build of the C++ btop++ continuation of bashtop and bpytop, optimized for Windows consoles. It relies on ANSI escape sequences for its rich... -
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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AnyCable
Polyglot replacement for Ruby WebSocket servers with Action Cable
...AnyCable transforms your Rails application’s real-time performance, making it on par with Go, Elixir, and Node.js–based solutions so you can focus on implementing the business logic. Scale efficiently with AnyCable by leveraging its much lower RAM usage and better CPU utilization than Action Cable. Like with any data, being strategic when handling real-time data is super important. With AnyCable, you remain the owner: you store and access all the data directly, and you never send it to a 3rd-party. Simple and secure. -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
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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ps5-linux
Linux payload implementing HV exploits to run a custom bootloader
...It relies on a patched hypervisor vulnerability and is limited to specific firmware versions, making it a specialized technical project rather than a general consumer installer. The project can turn compatible consoles into temporary Linux machines for desktop use, emulation, and PC gaming experiments. It supports the PS5’s CPU and GPU capabilities, HDMI 4K60 output, audio, USB ports, and M.2 SSD usage on supported firmware. The setup requires external hardware such as USB storage, a keyboard and mouse, and a USB network adapter. ps5-linux-loader is best understood as an advanced console Linux research project for users who understand firmware limits and experimental system setups. -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
...The database compiles queries into optimized machine code that executes efficiently on GPU hardware, significantly accelerating analytical workloads. It supports hybrid deployment environments where queries can run on both CPU and GPU architectures depending on the available resources. -
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IOPaint
Image inpainting tool powered by SOTA AI Model
IOPaint is a powerful open-source image editing tool focused on inpainting, outpainting, object removal, and general image manipulation driven by state-of-the-art AI models, delivering these capabilities through both local and hosted workflows. Designed to be fully self-hosted and flexible, IOPaint supports a variety of underlying generators and inpaint models — from LaMa erase networks to Stable Diffusion-based replace/object generation — giving users multiple ways to refine or reconstruct... -
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LuxTTS
A high-quality rapid TTS voice cloning model
...It implements a lightweight architecture based on ZipVoice and optimized sampling techniques so that it can generate speech at speeds up to roughly 150 times real-time on a single GPU and faster than real-time on CPU, all while producing audio at high fidelity with 48 kHz quality. The project supports zero-shot voice cloning, meaning it can adapt to a reference speaker’s voice with minimal example data, enabling realistic and personalized synthetic speech. Intended for developers, hobbyists, and creators, the repository includes installation instructions, usage examples, and Python APIs that make it feasible to integrate the model in local workflows, web demos, or production systems. ... -
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CapFrameX
Frametime capture and analysis tool
...It uses backend tools like PresentMon to log data and then exposes a comprehensive UI for analyzing the results: you can view charts of frametimes, historic graphing, stuttering analysis, L-shape graphs, input-lag overlays, and compare multiple capture runs side by side. Importantly, the tool also integrates with sensor inputs (CPU, GPU, VRAM, temps, etc.) and overlays statistics in-game via Rivatuner Statistics Server, so you get in-situ feedback while you run. For benchmarking, it supports aggregation, filtering, outlier detection, and export of records to CSV/Excel for further analysis or reporting. The project is suited for reviewers, hardware testers, and power users who want to dig deeper than simple FPS numbers and want to diagnose performance issues. -
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Multimodal
TorchMultimodal is a PyTorch library
...The repository also includes example scripts and datasets for common multimodal tasks (e.g. retrieval, visual question answering, grounding) so you can test and compare models end to end. Installation supports both CPU and CUDA, and the codebase is versioned, tested, and maintained. -
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BlueMap
A Minecraft mapping tool that creates 3D models of your Minecraft
...If installed as a Plugin/Mod, BlueMap renders asynchronously to your MinecraftServer-Thread. This means at no time it will block your server thread directly. So as long as your CPU is not fully utilized, your server should not be slowed down while BlueMap is rendering. -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
...Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can run multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline. -
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Skytable
Skytable is a fast, secure and reliable realtime NoSQL database
...Scale to millions of queries per second per node with no optimizations left on the table. Automated background saving, snapshots and remote snapshots are there when you need them. Natively multithreaded to exploit all CPU cores which helps lower your TCO. Written in Rust with expert analyzed unsafe code for memory safety and TLS for encrypted connections. Have 1MB memory? That's all Skytable needs. With no platform-specific dependencies, Skytable can virtually run on anything that has an OS. Features like keyspaces, tables, data types, authn+authz, snapshots and more are ready for you to use while we're working on several new data models and features. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. ... -
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Halide
A language for fast, portable data-parallel computation
...It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. ... -
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OSX-KVM
Run macOS on QEMU/KVM
...The project can fetch installers for multiple macOS generations, prepare installation media, and guide users through the complete virtual machine setup. It supports Intel VT-x and AMD SVM hosts, although newer macOS releases impose additional CPU instruction requirements. Included resources cover networking, libvirt, offline installation, headless operation, diagnostics, cloud environments, and GPU passthrough experiments. The repository is useful for macOS testing, development, research, and build-farm scenarios on compatible hardware. Users must still evaluate Apple licensing requirements and the hardware-specific limitations of their chosen configuration. -
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DwarFS
A fast high compression read-only file system for Linux, Windows
...For my primary use case, DwarFS compression is an order of magnitude better than SquashFS compression, it's 6 times faster to build the file system, it's typically faster to access files on DwarFS and it uses less CPU resources. -
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llmfit
157 models, 30 providers, one command to find what runs on hardware
llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. ...