Search Results for "robot framework test data"
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58 projects for "robot framework test data" with 1 filter applied:
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Humanoid-Gym
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
Humanoid-Gym is a reinforcement learning framework designed to train locomotion and control policies for humanoid robots using high-performance simulation environments. The system is built on top of NVIDIA Isaac Gym, which allows large-scale parallel simulation of robotic environments directly on GPU hardware. Its primary goal is to enable efficient training of humanoid robots in simulation while enabling policies to transfer effectively to real-world hardware without additional training.... -
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TTRL
Test-Time Reinforcement Learning
TTRL is an open-source framework for test-time reinforcement learning in large language models, with a particular focus on reasoning tasks where ground-truth labels are not available during inference. The project addresses the problem of how to generate useful reward signals from unlabeled test-time data, and its central insight is that common test-time scaling practices such as majority voting can be repurposed into reward estimates for online reinforcement learning. ... -
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ROSA
I Agent designed to interact with ROS1- and ROS2-based robotics system
ROSA, short for Robot Operating System Agent, is an AI-powered software assistant developed by NASA’s Jet Propulsion Laboratory to simplify interaction with robotic systems that use the Robot Operating System (ROS). The project provides a natural language interface that allows developers and operators to interact with robots by issuing commands or queries in conversational language. Built on top of frameworks such as LangChain and modern large language models, ROSA translates user... -
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fast-check
Property based testing framework for JavaScript
A property-based testing library for JavaScript, Fast-Check generates test cases to identify edge cases and unexpected behavior. -
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Mobly
E2E test framework for tests with complex environment requirements
Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. -
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
The open-source framework for precision data testing for data scientists and ML engineers. Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. A simple, zero-configuration data testing framework for data scientists and ML engineers seeking correctness. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. ... -
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testng
TestNG testing framework
TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...). -
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Passmark
The open-source Playwright library for AI browser regression testing
The Passmark project is an open-source AI-powered regression testing framework built on top of Playwright that enables developers to write end-to-end browser tests using natural language instead of traditional scripting. It is designed to simplify and accelerate testing workflows by allowing AI models to interpret human-readable instructions and translate them into executable browser actions. One of its defining features is a cache-first execution model, where AI is used initially to... -
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Zerocode
API automation and load testing framework
A community-developed, free, open source, microservices API automation and load testing framework built using JUnit core runners for Http REST, SOAP, Security, Database, Kafka and much more. Zerocode Open Source enables you to create, change, orchestrate and maintain your automated test cases declaratively with absolute ease. Zerocode makes it easy to create and maintain automated tests with absolute minimum overhead for REST,SOAP, Kafka Real Time Data Streams and much more. ... -
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ReTest.jl
Testing framework for Julia
ReTest is a testing framework for Julia allowing defining tests in source files, whose execution is deferred and triggered on demand. This is useful when one likes to have definitions of methods and corresponding tests close to each other. This is also useful for code that is not (yet) organized as a package, and where one doesn't want to maintain a separate set of files for tests. Filtering run testsets with a Regex, which is matched against the descriptions of testsets. This is useful for... -
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Datumaro
Dataset Management Framework, a Python library and a CLI tool to build
...Datumaro makes it easy to merge datasets, split them into training/validation/test subsets, filter or transform annotations, and validate annotation quality — all while preserving metadata and supporting detailed statistics. It’s especially useful when you’re dealing with heterogeneous data sources or need to prepare complex datasets for machine learning workflows, freeing you from writing custom scripts for every format conversion. -
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Mobility
Pluggable Ruby translation framework
Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including... -
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skfolio
Python library for portfolio optimization built on top of scikit-learn
...It supports a wide range of allocation methods, from classical mean-variance optimization to modern techniques that rely on clustering, factor models, and risk-based allocations. The framework also includes tools for evaluating portfolio performance under different market conditions, enabling users to test robustness and reduce the risk of overfitting. -
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PartiQL Lang Kotlin
PartiQL libraries and tools in Kotlin.
This is a Kotlin implementation of the PartiQL specification. PartiQL is based on SQL-92 and has added support for working with schemaless hierarchical data. PartiQL’s extensions to SQL are easy to understand, treat nested data as first-class citizens, and compose seamlessly with each other and SQL. This repository contains an embeddable reference interpreter, test framework, and tests for PartiQL in Kotlin. -
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TensorFlow Quantum
Open-source Python framework for hybrid quantum-classical ml learning
TensorFlow Quantum is an open-source software framework designed for building and training hybrid quantum-classical machine learning models within the TensorFlow ecosystem. The framework enables researchers and developers to represent quantum circuits as data and integrate them directly into machine learning workflows. By combining classical deep learning techniques with quantum algorithms, the platform allows experimentation with quantum machine learning methods that may offer advantages for certain computational tasks. ... -
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Jesse
An advanced crypto trading bot written in Python
Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. -
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XRAY
XRay for recon, mapping and OSINT gathering from public networks
XRAY is a modular security toolset that helps developers and security professionals analyze, fuzz, and test web applications, protocols, and network services for vulnerabilities. It provides a framework for writing and executing inspection modules that can parse structured data (JSON, XML, HTML), traverse graphs of endpoints, and perform intelligent probing guided by discovered surface area. XRay is typically used as a reconnaissance and vulnerability discovery engine in red-team or app-security workflows: it leverages extensible plugins to adapt to different protocols, inject payloads, and detect common bug classes such as injection flaws, misconfigurations, and unsafe endpoints. ... -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. -
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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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Magnitude
Vision AI browser agent for automation, testing, and extraction
Browser Agent by Magnitude is an open source, vision-first browser automation framework that enables users to control web interfaces using natural language instructions. It leverages visually grounded AI models to interpret and interact with web pages based on what is seen on the screen rather than relying solely on the DOM structure. This approach allows the agent to generalize better across complex and modern websites, making it more robust than traditional selector-based automation tools.... -
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local-llm
Run LLMs locally on Cloud Workstations
...The repository includes tools, Docker configurations, and command-line utilities that simplify the process of downloading, running, and interacting with language models directly on local or cloud-based workstations. This approach improves data privacy and control, as all inference can be performed locally without sending sensitive information to external APIs. It also integrates seamlessly with Google Cloud services, allowing developers to build and test AI-powered applications within the broader cloud ecosystem. -
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QTester104
IEC 60870-5-104 protocol tester.
This software implements the IEC60870-5-104 protocol (client side) for substation data acquisition and control via tcp/ip network using the QT UI Framework. It can be compiled on Linux and Windows platforms. It's possible to poll and view data from the remote system (RTU) and also send commands. >>> Have a look also at my new SCADA project here: https://github.com/riclolsen/json-scada -
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Koarse Grind (formerly Coarse Grind)
Test Automation framework intended for coarse-grained testing
Koarse Grind has been rewritten in Kotlin (hence the 'K'). It's new home is here: https://github.com/william-hood/koarse-grind-kotlin __________________________________ Test Automation framework for Kotlin/Java with an integrated web-based user interface. It is intended for larger-grained testing of an installed & configured product, rather than unit testing. -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a... -
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
fastquant is a Python library designed to simplify quantitative financial analysis and algorithmic trading strategy development. The project focuses on making backtesting accessible by providing a high-level interface that allows users to test investment strategies with only a few lines of code. It integrates historical market data sources and trading frameworks so that users can quickly build experiments without constructing complex data pipelines. The framework enables users to test common strategies such as moving average crossovers, momentum trading, and custom indicators on historical stock data.
