Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 20
Sort By:
6521 projects for "git:/git.code.sf.net/p/docfetcher/code" with 1 filter applied:
-
Optimize every aspect of hiring with Greenhouse RecruitingWhat’s next for many of us is changing. Your company’s ability to hire great talent is as important as ever – so you’ll be ready for whatever’s ahead. Whether you need to scale your team quickly or improve your hiring process, Greenhouse gives you the right technology, know-how and support to take on what’s next.
-
See what everyone is allocated to. Projects, clients, meetings - all in one tool.Designed to replace clunky, old scheduling spreadsheets, Resource Guru helps managers get organized fast. The platform covers resource planning, resource scheduling, resource management, staff leave management, reporting, and more.
-
1
Google Cloud Java Client Libraries
Google Cloud Client Library for Java
The Cloud Client Libraries are the recommended way to access Google Cloud APIs programmatically. The Cloud Client Libraries support accessing Google Cloud services in a way that significantly reduces the boilerplate code you have to write. The libraries provide high-level API abstractions so they're easier to understand. They embrace idioms of the language, work well with the standard library, and integrate better with your codebase. -
2
todo-comments.nvim
Highlight, list and search todo comments in your projects
todo-comments.nvim is a Neovim plugin that highlights and searches for comment annotations such as TODO, FIX, HACK, and others. It helps developers keep track of tasks, warnings, or issues left in code by providing colorful highlights and integration with search tools like Telescope. The plugin is written in Lua and is highly configurable to match different workflows. -
3
Machine Learning Tutorials Repository
Dive deep into the realms of Machine Learning and other topics
...It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. It includes implementations of algorithms using popular tools and libraries, allowing users to experiment and build their own models. The repository also serves as a reference for common patterns and workflows in machine learning development. By combining educational content with hands-on examples, it bridges the gap between theory and practice. -
4
dive-into-llms
"Dive into LLMs" series of practical programming tutorials
...The repository is structured as a learning pathway, making it accessible to both beginners and intermediate practitioners interested in understanding how LLMs work. It includes code samples, tutorials, and conceptual breakdowns that bridge the gap between academic research and real-world implementation. The project also highlights best practices for working with LLMs, including prompt design and optimization strategies. By focusing on clarity and depth, it serves as both a teaching tool and a reference for developers. ... -
Fully managed relational database service for MySQL, PostgreSQL, and SQL ServerCloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
-
5
MedgeClaw
Open-source AI research assistant for biomedicine
...It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. Its architecture combines conversational AI, automated pipelines, and scientific tooling into a unified workflow. -
6
AI-Crawler
Crawl a website starting from a URL, find relevant pages
...The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines. -
7
DeepAnalyze
Autonomous LLM agent for end-to-end data science workflows
...DeepAnalyze is capable of conducting open-ended data research across multiple data formats such as structured tables, semi-structured files, and unstructured text, enabling flexible and comprehensive analysis workflows. It integrates execution-based reasoning by generating and running code as part of its analysis process, allowing it to iteratively refine results and produce more accurate outputs. DeepAnalyze provides multiple interaction interfaces, including a web-based UI, a command-line interface, and a Jupyter-style notebook environment for interactive workflows. -
8
n-skills
Curated plugin marketplace for AI agents
...The repository includes a universal AGENTS.md discovery file and a shared SKILL.md format so that once a skill is published, it can be recognized and used by Claude Code, GitHub Copilot, Codex, Cursor, and other AI coding assistants with minimal friction. Installation of skills is supported through native installers or via universal installers like openskills, enabling seamless adoption in diverse development environments. -
9
Context Engineering Template
Context engineering is the new vibe coding
...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns. -
Project Planning and Management Software | PlanviewPlanview® Portfolios enables enterprises to accelerate strategic execution by seamlessly integrating business and technology planning, optimizing resources, and leveraging the power of embedded AI — Planview Anvi™ — to deliver breakthrough products, services, and customer experiences. This unified approach aligns strategy with execution, driving enhanced business performance across the organization.
-
10
Proton Web Clients
Monorepo hosting the proton web clients
Proton Web Clients is a monorepo hosting the web applications for Proton’s suite of privacy-focused services, including the core Proton Mail webmail interface and related web apps like Proton Calendar, Proton Drive, Proton Account, Proton VPN, Proton Pass, and other connected tools. It consolidates all web client code, shared modules, dependencies, and development tooling into a single repository, enabling unified maintenance, consistency of design patterns, and efficient evolution of Proton’s online interfaces. These web clients run entirely in the browser, letting users securely interact with their email, calendars, files, and other services without needing native software installed, and benefiting from end-to-end encryption where applicable. ... -
11
Generative AI Docs
Documentation for Google's Gen AI site - including Gemini API & Gemma
...It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that demonstrate how to use Google’s Generative AI SDKs and REST APIs effectively. -
12
Flox
Developer environments you can take with you
...Instead of snowflake machines, teams define environments that layer or replace dependencies exactly where needed, then activate the same environment locally, in CI, or on production hosts. The GitHub repo and docs present a developer-first UX, plus integrations such as a VS Code extension that makes activating and working within Flox environments seamless. The ecosystem includes CI building blocks—for example, a CircleCI Orb—to install and activate environments as part of builds and tests. Flox’s messaging focuses on faster onboarding and “time-to-activation,” reducing friction for new contributors and multi-repo organizations. ... -
13
Rust Course
It has been the world's most popular language for 8 consecutive years
...The project emphasizes practical learning through exercises, helping users approach Rust study as if it were a university course. It also provides a "Cookbook" section of practical code snippets for common tasks such as file operations, regex handling, and database interactions, allowing learners to quickly reference solutions without searching externally. -
14
OpenAI Cookbook
Examples and guides for using the OpenAI API
openai-cookbook is a repository containing example code, tutorials, and guidance for how to build real applications on top of the OpenAI API. It covers a wide range of use cases: prompt engineering, embeddings and semantic search, fine-tuning, agent architectures, function calling, working with images, chat workflows, and more. The content is primarily in Python (notebooks, scripts), but the conceptual guidance is applicable across languages. -
15
Discordeno
Discord API library for Node and Deno
...Discordeno is actively maintained to guarantee excellent performance, latest features, and ease of use. The functional API eliminates the challenges of extending built-in classes and inheritance while ensuring overall simple but performant code. Discordeno offers the option to have practically any component of a bot as a separate piece, including standalone REST, gateways, custom caches, and more. Remove any properties, if your bot doesn't need them. For instance, remove Channel.topic if your bot doesn't require it. You may save GBs of RAM in this way. A few lines of code are all that are needed to accomplish this for any property on any object. -
16
Agents.jl
Agent-based modeling framework in Julia
...The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. Overall this leads to ultra-fast model prototyping where even changing the space the agents live in is a matter of only a couple of lines of code. -
17
DeepSeek-OCR 2
Visual Causal Flow
...It is designed to handle complex layouts and noisy documents by giving the model causal reasoning capabilities that mimic human visual scanning behavior, enhancing OCR performance on documents with rich spatial structure. The repository provides model code and inference scripts that let researchers and developers run and benchmark the system on both images and PDFs, with support for batch evaluation and optimized pipelines leveraging vLLM and transformers. -
18
AngleSharp
The ultimate angle brackets parser library parsing HTML5, MathML, SVG
AngleSharp follows the W3C specifications and gives you the same results as state of the art browsers. Besides the official API AngleSharp adds some useful extension methods on top. This makes working with the DOM convenient. AngleSharp integrates everything you need to explore and mutate the DOM tree. Node retrieval is straight forward by using powerful CSS query selectors. The CSS queries in AngleSharp are super fast and very simple to use. AngleSharp respects the relationship of HTML with... -
19
my-tv-0
My TV·〇 TV video playback device can customize the TV source
my-tv-0 is an open-source television streaming application that allows users to play video content from customizable sources, offering a flexible alternative to traditional IPTV solutions. The software supports multiple configuration formats, enabling users to define their own channel lists and video streams using files such as M3U, JSON, or TXT. It is designed to run on Android-based devices, including TV boxes and smart TVs, providing a simple interface for browsing and switching between... -
20
Pysheeet
Python Cheat Sheet
Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers. -
21
Truth
Fluent assertions for Java and Android
Truth is a library for performing assertions in tests. Truth makes your test assertions and failure messages more readable. Similar to AssertJ, it natively supports many JDK and Guava types, and it is extensible to others. Truth is owned and maintained by the Guava team. It is used in the majority of the tests in Google’s own codebase. -
22
PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. The project is structured as a sample library, which means its primary value lies in showing practical API usage, authentication flows, and service interaction patterns instead of shipping a standalone framework. ... -
23
Qodo Cover
AI tool that generates tests to improve code coverage quickly
Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. -
24
MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
...RD-Agent can analyze data, generate experimental code, run evaluations, and learn from outcomes to improve future iterations. -
25
draw-a-ui
Draw wireframe sketches and generate HTML with AI vision models
...The result is an automated design-to-code workflow where rough interface ideas can quickly become functional web layouts. It is implemented as a modern web application built with Next.js and TypeScript and requires a compatible Node.js runtime to run locally. It is designed primarily as a demonstration of AI-assisted UI generation rather than a production-ready platform.
