Search Results for "code" - Page 40
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6400 projects for "code" with 1 filter applied:
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Deep Learning Is Nothing
Deep learning concepts in an approachable style
Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are... -
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Gemma in PyTorch
The official PyTorch implementation of Google's Gemma models
...The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation so teams can benchmark and iterate rapidly. The code is organized to be legible and hackable, exposing attention blocks, positional encodings, and head configurations. With standard PyTorch abstractions, it integrates easily into existing training loops, loggers, and evaluation harnesses. -
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Open Infra Index
Production-tested AI infrastructure tools
...FlashMLA, DeepEP, DeepGEMM, 3FS, etc.) that together form DeepSeek’s infrastructure stack. The repo's README describes the project as sharing “humble building blocks” of their online service—code that is documented, deployed, and battle-tested in production. The timing of its opening matches DeepSeek’s “Open-Source Week” campaign (starting around February 2025) when they gradually released internal infrastructure components publicly. It is licensed under CC0-1.0 (Creative Commons Zero) to maximize openness. -
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Practical ASP.NET Core
Practical samples of ASP.NET Core 10 RC
practical-aspnetcore is a repository containing hundreds of sample projects, micro-applications, and code snippets across multiple versions of .NET Core (including 2.1, 3.1, 5.0, 6.0, 7.0, 8.0, 9.0, 10 RC) to illustrate real-world patterns, advanced topics, and features in .NET Core development. It is intended as a hands-on learning resource for building web APIs, middleware, authentication, real-time, microservices, etc. -
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.
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Groovy Geb
Apache Geb: Very Groovy Browser Automation
Geb (pronounced “jeb”) is a Groovy-based browser automation framework that combines Selenium WebDriver under the hood with Groovy's concise DSL and jQuery-like content selection. It embraces the Page Object pattern and provides elegant browser automation scripts with expressive, readable syntax. Expressive, concise syntax ideal for functional-style test scripts. Open-source under Apache 2.0, with Apache Groovy community support. jQuery-like selectors for intuitive content targeting.... -
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Plug
Compose web applications with functions
...The library supports both synchronous and streaming responses, making it adaptable to various web scenarios. Its modularity and composability promote clean, reusable code while remaining lightweight enough for microservices and APIs outside of Phoenix. -
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Integrant
Micro-framework for data-driven architecture
...In Integrant, systems are created from a configuration data structure, typically loaded from an edn resource. The architecture of the application is defined through data, rather than code. -
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Reagent
A minimalistic ClojureScript interface to React.js
...It should even be faster than plain old javascript React a lot of the time, since ClojureScript allows us to skip a lot of unnecessary rendering (through judicious use of React's shouldComponentUpdate). The ClojureScript overhead is kept down, thanks to lots of caching. Code size is a little bigger than React.js, but still quite small. The todomvc example clocks in at roughly 79K gzipped, using advanced compilation. -
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libuv
Cross-platform asynchronous I/O
...Full-featured event loop backed by epoll, kqueue, IOCP, event ports. Asynchronous TCP and UDP sockets. Asynchronous DNS resolution. Asynchronous file and file system operations. File system events, ANSI escape code-controlled TTY. IPC with socket sharing, using Unix domain sockets or named pipes (Windows). -
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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Sakura Boot
Framework on top of spring-boot that helps create back-ends
...While Spring Boot speeds up the development process, developers still require extensive knowledge, must ensure adherence to best practices, and often write repetitive code for each project. First, the name Sakura Boot is named to reflect its foundation on Spring Boot, while "Sakura" symbolizing the brief cherry blossoms season in Japan, this highlights the framework’s focus on rapid and efficient backend development. -
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Pymunk
Pymunk is a easy-to-use pythonic 2d physics library
Pymunk is an easy-to-use Pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of the very capable 2D physics library Chipmunk2D. The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. Pymunk has been used with success in many projects, big and small. For example: 3 Pyweek game... -
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Saas UI
The React component library for startups, built with Chakra UI
...Saas UI is a React component library and starterkit that doesn't get in your way and helps you build intuitive SaaS products with speed. Saas UI ships with an extensive set of foundational and advanced components that cover a wide range of use-cases. Carefully crafted to reduce boilerplate code without sacrificing flexibility. Get started for free with 40+ open source components. Including authentication screens with Clerk, Supabase and Magic. Fully functional forms with React Hook Form. Data tables with React Table. -
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Laravel Passport
Laravel Passport provides OAuth2 server support to Laravel
Laravel Passport is an OAuth2 server and API authentication package that is simple and enjoyable to use. Laravel Passport provides a full OAuth2 server implementation for your Laravel application in a matter of minutes. Passport is built on top of the League OAuth2 server that is maintained by Andy Millington and Simon Hamp. Before getting started, you may wish to determine if your application would be better served by Laravel Passport or Laravel Sanctum. If your application absolutely needs... -
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async-graphql
A GraphQL server library implemented in Rust
...It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. But Juniper had several problems, the most important of which is that it didn't support async/await at the time. ... -
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Sa2VA
Official Repo For "Sa2VA: Marrying SAM2 with LLaVA
Sa2VA is a cutting-edge open-source multi-modal large language model (MLLM) developed by ByteDance that unifies dense segmentation, visual understanding, and language-based reasoning across both images and videos. It merges the segmentation power of a state-of-the-art video segmentation model (based on SAM‑2) with the vision-language reasoning capabilities of a strong LLM backbone (derived from models like InternVL2.5 / Qwen-VL series), yielding a system that can answer questions about... -
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Mach Engine
Zig game engine & graphics toolkit
...The project aims to deliver a modular, robust foundation where graphics, input, windowing, and rendering are unified under a modern, low-level but ergonomic API. Because Mach is written in Zig (with some shader code / WGSL), it leverages Zig’s performance and modern systems-level features while offering safe-ish abstractions compared to raw graphics APIs. The engine supports a broad set of target platforms — desktop OSes and in principle, future expansion — and tries to simplify the pain of dependency management and cross-compilation, making it easier to build and deploy across systems without complex toolchains. ... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
...GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this. -
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Micro Agent
AI CLI agent that writes code by iterating until tests pass
Micro Agent is a command-line tool designed to generate and refine code using a test-driven approach powered by large language models. Instead of producing one-shot code outputs, it creates or uses test cases and repeatedly iterates on the generated code until those tests pass successfully. This workflow emphasizes reliability by using structured feedback from failing tests to guide improvements, reducing the need for manual debugging and iteration. -
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DeepSeek Engineer v2
A powerful coding assistant application
DeepSeek Engineer v2 is an AI-powered coding assistant built around DeepSeek models and an interactive terminal workflow. It lets developers discuss code, request analysis, and perform project work through natural language. Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. ... -
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Convox Rack
Private PaaS built on native AWS services for maximum privacy
...It is designed for teams that want the productivity of a platform-as-a-service while keeping workloads, data, and infrastructure under their own control. Developers interact with Rack through the Convox CLI to create apps, set environment variables, deploy code, build releases, and promote updates. The platform handles application lifecycle tasks such as releases, logs, processes, scaling, rack updates, access credentials, and operational configuration. It also exposes commands for inspecting rack processes and generating Kubernetes configuration for the underlying cluster. Convox Rack is especially useful for teams that want repeatable deployments, cloud-native isolation, and reduced infrastructure maintenance without moving everything into a fully managed third-party runtime. -
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kagglehub
Python library to access Kaggle resources
kagglehub is a Python library for accessing Kaggle resources directly from Python code. It provides a simple API for downloading datasets, models, competition files, and notebook outputs without requiring users to manually manage every URL or file path. The library is designed to work both inside and outside Kaggle Notebooks, with native behavior that can adapt when it runs in Kaggle’s hosted notebook environment. It is useful for machine learning workflows where data, models, and notebook artifacts need to be pulled into scripts, experiments, or pipelines. kagglehub also supports authentication so users can access private or restricted resources when their account has permission. ... -
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MiniMind-O
A 0.1B Omni model trained from scratch
...It includes both mini and full training data paths, allowing learners to run a complete workflow quickly or reproduce the released model setup more closely. The implementation emphasizes native PyTorch code instead of relying on high-level third-party abstractions. minimind-o is most useful for developers and researchers who want to understand how multimodal and speech-capable AI systems are built from the ground up. -
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Vercel Zero
The programming language for agents
Zero is an experimental programming language from Vercel Labs designed with AI agents as first-class users. The project explores what a language, tooling system, and standard library might look like if agents need to read, debug, repair, and ship code reliably. It focuses on a small and regular language surface, structured diagnostics, predictable tooling, and machine-readable outputs. Zero is still pre-1 and intentionally unstable, so its syntax and APIs are meant for exploration rather than production use. The project includes commands for checking, running, building, graph inspection, size reporting, diagnostics, and repair-oriented workflows. ... -
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Context Hub
Makes coding agents get smarter with every task
Context Hub is a curated documentation system built to help coding agents write more accurate code. It gives agents versioned, language-specific reference material instead of forcing them to rely on noisy web searches or stale model memory. The project includes a CLI called chub that agents can use to search for available docs, fetch specific API guidance, and request only the files they need. It also supports local annotations, allowing an agent to remember project-specific notes, pitfalls, or workarounds across future sessions. ... -
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TypeUI DESIGN.md Extractor
Chrome extension to extract styles from any website
TypeUI DESIGN.md Extractor is a Chrome extension that improves the readability and visual presentation of Markdown files viewed directly in the browser. The project automatically transforms raw Markdown documents into styled, GitHub-like rendered pages with enhanced typography, syntax highlighting, and layout improvements. It is designed to make technical documentation, README files, notes, and markdown-based content easier to consume without requiring external viewers or conversion tools....
