Search Results for "test" - Page 7
Sort By:
1784 projects for "test" with 1 filter applied:
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
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.
-
1
LaTeX Examples
Examples for the usage of LaTeX
...The project is useful both for beginners who want to see working LaTeX samples and for more advanced users seeking snippets for specific formatting needs (e.g., customizing headers, floats, customizing theorem environments). Because examples are self-contained and well-commented, users can copy, adapt, or test them without needing a large TeX toolchain. -
2
gpt-prompt-engineer
Experimental prompt optimization toolkit built around notebooks
gpt-prompt-engineer is an experimental prompt optimization toolkit built around notebooks and LLM-assisted evaluation. It lets users describe a task, provide test cases, and generate many candidate prompts automatically. The system then tests those prompts against the examples and ranks their performance through an ELO-style scoring process. The repository includes versions for general prompt generation, classification tasks, Claude-based workflows, and model-to-model prompt conversion. It is meant to make prompt engineering more systematic than manual trial and error. ... -
3
Defending Code Reference Harness
Skills for threat modeling, scanning, triage, patching, etc.
Defending Code Reference Harness is a reference implementation for autonomous vulnerability discovery and remediation with Claude. It is designed for security teams that want a structured way to test, triage, and patch software issues with agent support. The project includes skills for threat modeling, scanning, triage, patching, and customizable autonomous analysis workflows. Its default pipeline focuses on finding memory bugs in C and C++ code using ASAN as the crash detector. The overall architecture is meant to be adaptable, so teams can modify it for other languages, bug classes, and detection systems. ... -
4
TorchCode
Practice implementing softmax, attention, GPT-2 and more
...The platform provides a collection of curated problems that cover fundamental topics such as activation functions, normalization layers, attention mechanisms, and full transformer architectures. It runs in a Jupyter-based environment, allowing users to write, test, and debug their code interactively while receiving immediate feedback. An automated judging system evaluates correctness, gradient flow, and numerical stability, helping users understand both functional and theoretical aspects of their implementations. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
File System Crawler for Elasticsearch
Elasticsearch File System Crawler (FS Crawler)
This crawler helps to index binary documents such as PDF, Open Office, MS Office. Local file system (or a mounted drive) crawling and indexing new files, updating existing ones, and removing old ones. Remote file system over SSH/FTP crawling. REST interface to let you “upload” your binary documents to elastic search. -
6
NiubiGEO
Open-source AI brand visibility and competitor reports
NiubiGEO is an open-source platform for measuring how AI models describe and recommend brands. Users create a project from a domain, choose models, and test how each system identifies the product, competitors, keywords, and relevant sources. Results retain the original model answers and citations so conclusions can be reviewed against their evidence. Different providers, OpenRouter models, and custom OpenAI-compatible endpoints can be mixed in the same project. Keyword tests help reveal which products appear for important customer questions and where a brand is absent. ... -
7
UniMate
UniMate: One Unified Model to Animate Diverse Skeletons
...The accompanying UniML3D dataset contains 13,006 text-paired motion sequences with unified skeletal canonicalization. Inference can generate motion for unseen skeleton topologies without per-skeleton retraining or test-time optimization. The same model supports text-guided motion editing, in-betweening, and longer motion expansion. Training, inference, data processing, and preview checkpoints are provided for research use. -
8
Algorithms
Solutions for some common algorithm problems written in Java
...Some problems include more than one implementation, allowing different approaches to be examined side by side. Every solution is accompanied by tests, and part of the repository was developed using test-driven development. Sorting examples include bubble, selection, insertion, merge, and quick sort. The project is intended for algorithm practice, implementation study, and experimentation rather than as a reusable production library. -
9
Ow
Function argument validation for humans
...Built-in predicates cover common constraints, while custom validators can handle application-specific requirements. Failed checks produce descriptive errors intended to make debugging easier than relying on later runtime failures. Ow can also test values without throwing and includes TypeScript type guards that narrow unknown values after successful validation. It works in server, browser, and command-line environments and is aimed at focused runtime checks rather than large schema validation workloads. -
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.
-
10
Padrões de commits
Reference project for creating clear, standardized Git commit messages
...It explains semantic commit conventions and how structured messages make project history easier to understand and automate. The guide covers common types such as feat, fix, docs, test, build, perf, style, refactor, chore, and ci. It pairs many commit categories with emojis for quick visual identification. The repository also includes a commit-msg shell hook that can validate messages against Conventional Commits rules. Additional sections provide message examples, Git command references, commit body and footer guidance, and a glossary for common collaboration concepts. -
11
HTML5 Security Cheatsheet
A collection of HTML5 related XSS attack vectors
H5SC, or the HTML5 Security Cheatsheet, is a public reference collection for researching browser-based cross-site scripting behavior. It catalogs HTML5-related XSS vectors so security professionals can compare how markup, browser features, and parsing behavior affect injection risks. The repository also includes supporting files intended for controlled XSS testing. A collection of lesser-known browser behaviors helps researchers investigate edge cases that ordinary checklists may miss.... -
12
Austin
Message push platform
Austin is an open-source Java platform for centrally creating, scheduling, sending, and tracking notifications across many communication channels. Its web interface lets operators configure provider accounts, define reusable templates, test deliveries, and inspect message status. Supported destinations include email, SMS, WeChat, DingTalk, enterprise messaging systems, Feishu robots, and Android push notifications. Separate channel pipelines prevent a slow provider from blocking unrelated message types. Templates accept dynamic parameters, while CSV audiences and cron expressions support scheduled bulk campaigns. ... -
13
Flint Chart
Visualization language that lets AI agents create expressive charts
...One Flint input can compile into native Vega-Lite, ECharts, or Chart.js specifications. The repository includes a TypeScript library, an MCP server, a demo site, documentation, test data, and an early Python port. It is especially useful for AI agents that need to create reliable visualizations from structured data during analysis or reporting workflows. -
14
gpt-llm-trainer
Experimental notebook pipeline for creating language models
...It includes workflows for LLaMA 2 7B, GPT-3.5 fine-tuning, and a Claude-to-LLaMA training variant. The project is designed for fast experimentation rather than polished enterprise model operations. It is useful for builders who want to test whether a narrowly focused model can be trained from generated examples. -
15
go-web-framework-benchmark
Go web framework benchmark
go-web-framework-benchmark is a benchmark suite for comparing the performance of Go web frameworks. It was created to measure full HTTP request processing instead of only route matching speed. The project runs small real HTTP servers for many stable frameworks and tests a simple /hello endpoint. It can add configurable handler delay to simulate business work such as database calls, cache access, disk writes, socket activity, or microservice calls. The benchmark uses wrk and scripts to... -
16
TabFM
scikit-learn compatible tabular foundation model
...It is designed to work with mixed numerical and categorical columns without requiring a custom training run for every new table. Instead of fitting model weights to the user’s dataset, TabFM uses in-context learning by reading training examples and test rows together at inference time. The library provides scikit-learn-compatible classifier and regressor interfaces, which makes it familiar for data scientists already using Python ML workflows. It supports both JAX and PyTorch backends and can automatically download pretrained TabFM v1.0.0 weights. The project is useful for practitioners who want strong tabular predictions with less manual feature engineering, tuning, and repeated model training. -
17
improve
Use your most capable model to audit your codebase
...It can run full, quick, deep, security-focused, branch-scoped, and feature-suggestion audits. It maps repository conventions, identifies findings, writes ordered markdown plans, and records verification steps such as lint, build, and test commands. It is useful for teams that want AI-assisted technical planning without letting the planning model directly change production code. -
18
GoPay Workflow Orchestrator
Lightweight process orchestration framework for regional payment
...It includes an orchestrator-style structure and supporting utilities, including an OTP-forwarding component for controlled testing environments. Because it interacts with payment and verification flows, it should only be used with accounts, systems, and test cases the user is authorized to operate. Its main purpose is payment integration analysis, automated testing, and workflow observability. -
19
Claude Code Config
My personal Claude Code configuration
...The project centralizes configuration files that instruct Claude Code how to behave in different contexts, automating repetitive tasks and enforcing coding patterns across languages or project types. Its rulesets can apply path-scoped conventions (such as for TypeScript or test files), while hooks trigger scripts on specific events like prompt submission or automated checks. Custom agents help perform specialized tasks like codebase search or documentation generation, and skills extend Claude’s capabilities with domain-specific utilities. Commands provide quick shortcuts and interactions within the Claude Code environment, helping streamline workflows. -
20
bu-agent-sdk
An agent is just a for-loop
...The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. This lightweight design means developers can rapidly prototype AI agent behavior, test custom tools, and integrate models like Anthropic’s Claude with minimal overhead. -
21
Meta Agents Research Environments (ARE)
Meta Agents Research Environments is a comprehensive platform
...Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability. Integration with simulated applications/agent APIs (email, file system, etc.). Support for multiple AI model backends/providers. -
22
simple-java-maven-app
For an introductory tutorial on how to use Jenkins
simple-java-maven-app is a reference repository created for the Jenkins tutorial on building a Java application with Maven. It contains a minimal Java program that prints “Hello world!” and includes unit tests to validate functionality, with test results exported in JUnit XML format. The repository provides an example that demonstrates how to configure a Jenkins Pipeline for building and delivering applications. It also includes scripts that define commands executed in pipeline stages, showcasing automation in continuous integration and delivery (CI/CD). This project is designed as an entry-level resource for developers learning Jenkins. ... -
23
Spectre.Console
Library that makes it easier to create beautiful console applications
Spectre.Console is a .NET library that enables the creation of rich, cross‑platform console applications. Heavily inspired by Python’s Rich library, it provides advanced styling, layout, and input capabilities for modern terminal UIs. Supports tables, grids, panels, and a Rich inspired markup language. Supports the most common SRG parameters when it comes to text styling such as bold, dim, italic, underline, strikethrough, and blinking text. Supports 3/4/8/24-bit colors in the terminal. The... -
24
GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
...Different query engines can adopt the language while choosing which features to support. Unsupported features are clearly surfaced through validation errors. To maintain consistency, GoogleSQL provides a compliance test suite for engine implementers. This helps ensure predictable results across different platforms. GoogleSQL is used internally and externally by several Google SQL-based services. Products like BigQuery and Spanner rely on it for uniform SQL behavior. -
25
Nutgram
The Telegram bot framework that doesn't drive you nuts
This framework takes advantage of the latest PHP 8.2 features and tries to make the speed, scalability and flexibility of use its strength, it will allow you to quickly make simple bots, but at the same time, it provides more advanced features to handle even the most complicated flows. The Telegram bot framework doesn't drive you nuts.
