Search Results for "speed up computr"
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Showing 809 open source projects for "speed up computr"
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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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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Laravel Page Speed
Package to optimize your site automatically
Simple package to minify HTML output on demand which results in a 35%+ optimization. Laravel Page Speed was created by Renato Marinho, and currently maintained by João Roberto P. Borges, Lucas Mesquita Borges and Renato Marinho. The RemoveQuotes::class filter eliminates unnecessary quotation marks from HTML attributes. While required by the various HTML specifications, browsers permit their omission when the value of an attribute is composed of a certain subset of characters (alphanumerics... -
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Fury
A blazing fast multi-language serialization framework
Fury is a blazing-fast multi-language serialization framework powered by jit(just-in-time compilation) and zero-copy, providing up to 170x performance and ultimate ease of use. Based on efficient JIT, struct deserialization can get 170x speed up compared to other serialization frameworks. In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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GPUArrays
Reusable array functionality for Julia's various GPU backends
Reusable GPU array functionality for Julia's various GPU backends. This package is the counterpart of Julia's AbstractArray interface, but for GPU array types: It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users! Instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl, AMDGPU.jl, or Metal.jl. -
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LZ4
Extremely fast compression algorithm
LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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AB Download Manager
A Download Manager that speeds up your downloads
AB Download Manager is an Android library that provides reliable and resumable download capabilities for applications. It supports multi-threaded downloads, progress tracking, and background tasks, making it ideal for apps that require robust file transfer features. The library is built for easy integration and performance on Android devices. -
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WS2812FX
WS2812 FX library for Arduino and ESP8266
...You can search for WS2812FX in the Arduino IDE Library Manager or install the latest (or development) version manually. More complex effects can be created by dividing your string of LEDs into segments (up to ten) and programming each segment independently. Use the segment() function to program each segment's mode, color, speed, and direction (normal or reverse). Note, some effects make use of more than one color (up to three) and are programmed by specifying an array of colors. Random color introduced alternating from start and end of strip. ... -
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Laravel Response Cache
Speed up a Laravel app by caching the entire response
This Laravel package can cache an entire response. By default, it will cache all successful get-requests that return text-based content (such as HTML and json) for a week. This could potentially speed up the response quite considerably. So the first time a request comes in the package will save the response before sending it to the users. When the same request comes in again we're not going through the entire application but just respond with the saved response. -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
...The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU memory usage / improve efficiency. Parallel inference code to speed up sampling, utilities and tests included. -
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VCR.py
Automatically mock your HTTP interactions to simplify testing
Automatically mock your HTTP interactions to simplify and speed up testing. VCR.py simplifies and speeds up tests that make HTTP requests. The first time you run code that is inside a VCR.py context manager or decorated function, VCR.py records all HTTP interactions that take place through the libraries it supports and serializes and writes them to a flat file (in yaml format by default). This flat file is called a cassette. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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SetupMiniconda
Set up your GitHub Actions workflow with conda via miniconda
setup-miniconda is a GitHub Action that sets up a Miniconda environment in CI/CD workflows. It simplifies the process of installing and configuring conda environments, enabling developers to manage dependencies and environments efficiently within their automated pipelines. -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators... -
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TRELLIS 2
Native and Compact Structured Latents for 3D Generation
...The system leverages a large 4-billion-parameter architecture combining sparse 3D variational autoencoders with flow-matching transformers to produce fully textured 3D models at resolutions up to 1536³ voxels. TRELLIS.2 emphasizes speed and compact latent representation, allowing bidirectional conversion between mesh formats and internal representations with minimal preprocessing and optimized performance on high-end GPUs. -
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Aseprite
Animated sprite editor & pixel art tool
Aseprite is a program to create animated sprites. Sprites are composed of layers & frames as separated concepts. Support for color profiles and different color modes: RGBA, Indexed (palettes up to 256 colors), Grayscale. Animation facilities, with real-time preview and onion skinning. Copy & paste. Drag & drop. Resize palette. Palette entries with alpha value. Select color harmonies. Create light and shadows with the shading ink. Create perfect strokes for pixel-art. Avoid extreme pixel... -
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Speedtest Tracker
Speedtest Tracker is a self-hosted internet performance tracking app
A Docker image to check your internet speed using Ookla's Speedtest service. Build using Laravel and the Speedtest CLI. Speedtest Tracker is a self-hosted internet performance tracking application that runs speed test checks against Ookla's Speedtest service. The main use case for Speedtest Tracker is to build a history of your internet's performance so that you can be informed when you're not receiving your ISP's advertised rates. -
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Seeker
Accurately Locate Smartphones using Social Engineering
Seeker is an open source project that demonstrates how to obtain precise location information from devices using social engineering and web-based techniques. The tool sets up a phishing page that asks for location permissions, allowing GPS and other device data to be shared if the user consents. It can capture latitude, longitude, accuracy, altitude, direction, and even speed, with results displayed in a terminal. The project supports both manual deployment and tunneling services like Ngrok for external access. ... -
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MiniCPM4
Ultra-Efficient LLMs on End Device
...It achieves this through optimized architectures, scalable training strategies, and techniques such as long-context pretraining and YaRN-based length extension, allowing it to handle sequences up to 128K tokens effectively. The model demonstrates strong performance across tasks such as long-text comprehension, reasoning, and general language generation, often outperforming similar-sized models in both speed and accuracy. MiniCPM4 is available in multiple parameter sizes, making it adaptable to different deployment scenarios ranging from mobile devices to GPUs. -
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Spegel
Stateless cluster local OCI registry mirror.
Spegel is a distributed container image registry mirror designed to speed up container image pulls in large-scale Kubernetes clusters. It locally mirrors container images to cluster nodes, reducing latency and bandwidth consumption during container deployments. Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. It’s particularly useful for air-gapped, edge, or resource-constrained environments where access to remote registries is slow or restricted. -
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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data stored in Excel (both .xls and .xlsx), CSV, JSON, TAB, IndexedDB, LocalStorage, and SQLite files. ... -
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Blokada Apps
Repo for Blokada apps
...Enjoy zero battery drain, no noticeable slowdowns, and highly reliable adblocking. If you want to efficiently block ads, trackers, malware, save on your data plan, speed up your device and protect your privacy with just one application, then Blokada is for you. It is free, secure and open source. For ultimate privacy protection, upgrade to Blokada Plus and connect through our VPN. Available in both Blokada 6 and Blokada 5. We use WireGuard®, the most advanced VPN protocol, to encrypt your network activity and hide your IP address. -
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Adblock Fast
Adblock Fast is a new, faster ad blocker for Android, iOS, Chrome
...Adblock Fast is a new, faster ad blocker for desktop computers and mobile browsers. Adblock Fast’s ruleset is derived from EasyList and that of Bluhell Firewall. Adblock Fast is available for Windows 7 and up, Android 5.0 and up with Samsung Internet 4.0 and up, and iOS 9 and up on 64-bit devices (iPhone 5s and up and iPad mini 2 and up). -
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OSX-Optimizer
Optimize MacOS, Shell scripts to speed up your mac boot time
...The script collection includes aggressive adjustments like skipping the GUI login screen, enabling performance mode via NVRAM flags, and disabling large wallpapers and visual effects to reduce graphical overhead. It also provides commands to disable Spotlight indexing system-wide, which can significantly speed up virtual machines where disk I/O is at a premium. -
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LightGBM
Gradient boosting framework based on decision tree algorithms
LightGBM or Light Gradient Boosting Machine is a high-performance, open source gradient boosting framework based on decision tree algorithms. Compared to other boosting frameworks, LightGBM offers several advantages in terms of speed, efficiency and accuracy. Parallel experiments have shown that LightGBM can attain linear speed-up through multiple machines for training in specific settings, all while consuming less memory. LightGBM supports parallel and GPU learning, and can handle large-scale data. It’s become widely-used for ranking, classification and many other machine learning tasks. -
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Mockito
Most popular Mocking framework for unit tests written in Java
Mockito downloads and instructions for setting up Maven, Gradle and other build systems are available from the Central Repository and Bintray. Mockito 3.x requires Java 8, but otherwise doesn’t introduce any breaking changes compared to the 2.x series. Mockito 2.25.0 had an important feature added for anyone using mockito-inline. In particular anyone using Kotlin (which demands using mockito-inline) and PowerMock (which exacerbates the problem even more) will want to add this to all of their... -
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cmdh
Create Linux commands from natural language, in the shell
...The tool integrates with language models to interpret user intent and generate accurate commands, reducing the need for memorizing complex syntax. It is particularly useful for beginners learning shell environments as well as experienced users who want to speed up repetitive tasks. cmdh emphasizes minimalism and speed, offering a lightweight interface that fits seamlessly into existing command-line workflows. It can be used interactively or integrated into scripts, making it flexible for different use cases. Overall, cmdh enhances productivity by bridging the gap between natural language and technical command execution. -
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model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. By using a distillation-based approach, it can produce lightweight models that run efficiently on...
