Search Results for "computer based test" - Page 3
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Showing 3366 open source projects for "computer based test"
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vcr
Record your test suite's HTTP interactions and replay them
Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests. We're looking for more maintainers. If you'd like to help maintain a well-used gem please spend some time reviewing pull requests, issues, or participating in discussions. VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are... -
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MCiSEE
All of Minecraft, EASILY get Minecraft resources
...It bridges the gap between game simulation and AI experimentation by providing tools that connect Minecraft gameplay with external algorithms. Developers can extend the platform to test new approaches to artificial intelligence within a complex virtual environment. -
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training... -
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LRSLibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction
LRSLibrary is a MATLAB library offering a broad collection of low-rank plus sparse decomposition algorithms, primarily aimed at background/foreground modeling from videos (background subtraction) and related computer vision tasks. Compatibility across MATLAB versions (tested in R2014–R2017) The library includes matrix and tensor methods (over 100 algorithms) and has been tested across MATLAB versions from R2014 onward. The algorithms can also be adapted to other computer vision or machine learning problems beyond video. Large algorithm collection: > 100 matrix- and tensor-based low-rank + sparse methods. ... -
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GoCV
Go package for computer vision using OpenCV 4 and beyond
GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. ... -
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Colossal-AI
Making large AI models cheaper, faster and more accessible
The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing. Together with better performance come larger model sizes. This imposes challenges to the memory wall of the current accelerator hardware such as GPU. It is never ideal to train large models such as Vision Transformer, BERT, and GPT on a single GPU or a single machine. There is an urgent demand to train models in a distributed environment.... -
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Glslang
Khronos-reference front end for GLSL/ESSL, partial front end for HLSL
To use the standalone binary form, execute glslangValidator, and it will print a usage statement. Basic operation is to give it a file containing a shader, and it will print out warnings/errors and optionally an AST. Instead of building manually, you can also download the binaries for your platform directly from the master-tot release on GitHub. Those binaries are automatically uploaded by the build bots after successful testing and they always reflect the current top of the tree of the... -
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Delphi-OpenCV
Project Delphi-OpenCV. Translation of OpenCV library header files
...The repository also integrates FFmpeg components to expand multimedia handling capabilities. Its structure is designed to simplify setup and experimentation in Delphi-based projects. -
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fake-gcs-server
Google Cloud Storage emulator & testing library
fake-gcs-server is a lightweight emulator for the Google Cloud Storage API that allows developers to test applications locally without relying on actual cloud infrastructure. It replicates the behavior of GCS endpoints, enabling operations such as creating buckets, uploading objects, and querying storage data in a controlled environment. The server can be run as a standalone binary or inside a Docker container, making it flexible for integration into development and testing workflows. It... -
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Locust
Scalable open source load testing tool
Locust is an open source user load testing tool written in Python. The idea behind Locust is to swarm your web site or other systems with attacks from simulated users during a test, with each user behavior defined by you using Python code. This swarming process is then monitored from a web UI in real-time, and will help identify any bottlenecks in your code before real users can come in. As it is completely event-based, Locust can have thousands or even millions of simultaneous users distributed over multiple machines swarming your system. ... -
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Goss
Quick and Easy server testing/validation
For testing docker containers see the dgoss wrapper. Also, user submitted wrapper scripts for Kubernetes kgoss and Docker Compose dcgoss. Goss is a YAML-based serverspec alternative tool for validating a server’s configuration. It eases the process of writing tests by allowing the user to generate tests from the current system state. Once the test suite is written they can be executed, waited-on, or served as a health endpoint. An initial set of tests can be derived from the system state by using the add or auto add commands. ... -
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autoMate
AI tool for automating desktop tasks via natural language input
autoMate is an AI-powered local automation tool designed to enable users to control and automate their computers using natural language instructions instead of traditional scripting or rule-based systems. It combines large language models with computer vision techniques to interpret user intent and understand on-screen content, allowing it to interact with graphical interfaces similarly to a human user. autoMate follows an observe-decide-act workflow, where it analyzes the screen, plans actions, and executes them through simulated input such as mouse clicks and keyboard events. ... -
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DevPod
Codespaces but open-source, client-only and unopinionated
DevPod is a client-only tool to create reproducible developer environments based on a devcontainer.json on any backend. Each developer environment runs in a container and is specified through a devcontainer.json. Through DevPod providers, these environments can be created on any backend, such as the local computer, a Kubernetes cluster, any reachable remote machine, or in a VM in the cloud. You can think of DevPod as the glue that connects your local IDE to a machine that you want to develop. ... -
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Giskard
Collaborative & Open-Source Quality Assurance for all AI models
...The Giskard scan automatically detects vulnerability issues such as performance bias, data leakage, unrobustness, spurious correlation, overconfidence, underconfidence, unethical issue, etc. Giskard automatically generates relevant tests based on the vulnerabilities detected by the scan. You can easily customize the tests depending on your use case by defining domain-specific data slicers and transformers as fixtures of your test suites. -
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OpenBLAS
Optimized BLAS library based on GotoBLAS2 1.13 BSD version
...Please refer to tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc. Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor. -
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Testcontainers Go
Testcontainers for Go is a Golang library that provides a friendly API
Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done. -
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OpenClaw Installer
ClawdBot one-click deployment tool
...It supports multiple platforms, including macOS, Linux distributions (Ubuntu, Debian, CentOS), and Windows environments via compatible shells, and simplifies otherwise complex installation steps into a guided, terminal-based experience. The tool also includes options to test API connections, validate channel integrations like Telegram or Discord bots, and launch persistent services that keep OpenClaw running in the background. -
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MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution
MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation... -
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Browsersync
Keep multiple browsers & devices in sync when building websites
With each web page, device and browser, testing time grows exponentially. From live reloads to URL pushing, form replication to click mirroring, Browsersync cuts out repetitive manual tasks. It’s like an extra pair of hands. Customise an array of sync settings from the UI or command line to create a personalised test environment. Need more control? Browsersync is easily integrated with your web platform, build tools, and other Node.js projects. Built on Node.JS_ENTRY to support Windows,... -
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Lux Desktop
Example client of oagi-python developed with Tauri
Lux Desktop is a cross-platform desktop application that showcases how to build a graphical client on top of the Lux computer-use model using the OAGI Python SDK as its backend. It is implemented with Tauri, combining a TypeScript/React front end with a Rust-powered shell to produce lightweight native executables for macOS and Windows. The project serves as a reference implementation for developers who want to see how Lux-powered agents can be packaged into a user-friendly app, including how... -
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Libki Server
Libki Server for managing computer access for public users
Libki is an open-source, cross-platform system that allows organizations to manage computer access for public users. It's designed for use in places that require a controlled computing environment, such as libraries, schools, and public access systems. Libki consists of two parts: the Libki server and the Libki client. The server is web-based and allows for customization of the user experience. -
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cloudflare-speed-cli
CLI for internet speed test via cloudflare
cloudflare-speed-cli is a Rust-based command-line internet speed testing tool that interfaces with Cloudflare’s public speed test endpoints, letting users measure download and upload throughput, latency, and more from a terminal. It presents results in an interactive text-user-interface (TUI) that charts real-time metrics as tests run, making it easy to visually inspect performance trends without leaving the console. -
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gotests
Automatically generate Go test boilerplate from your source code
gotests makes writing Go tests easy. It's a Golang command line tool that generates table-driven tests based on its target source files' function and method signatures. Any new dependencies in the test files are automatically imported. From the commandline, gotests can generate Go tests for specific source files or an entire directory. By default, it prints its output to stdout. -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you pass into it. ... -
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Release It!
Automate versioning and package publishing
...You will be prompted to select the new version, and more prompts will follow based on your setup. Run release-it from the root of the project to prevent potential issues. Out of the box, release-it has sane defaults, and plenty of options to configure it.
