Search Results for "obd source code" - Page 17
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5828 projects for "obd source code" with 1 filter applied:
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Libros de Programación en Español
List of programming books in Spanish for free
Libros de Programación en Español is a curated list of free programming books in Spanish, organized by topic and technology so learners can find high-quality materials without cost. The README is structured as an index with general programming books, followed by sections for specific languages such as JavaScript, TypeScript, Python, Ruby, Rust, PHP, Haskell, Go, Kotlin, Java, and R.Each entry includes the book title, author, and a link to the official or legal free version (PDF, HTML, eBook,... -
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Avo Framework
Build Ruby on Rails apps 10x faster
Avo is a very custom Admin Panel Framework, Content Management System, and Internal Tool Builder for Ruby on Rails that saves engineers and teams months of development time. -
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moq
Interface mocking tool for go generate
Moq is a Go interface mocking tool designed to generate test-friendly mock structs from existing interfaces. It is commonly used with go generate so teams can keep mock implementations synchronized with their source interfaces. Instead of relying on a large mocking framework, Moq creates straightforward Go code that can be inspected, edited, and used directly in tests. The generated structs allow developers to define function behavior for each mocked method. This makes it easier to test code that depends on interfaces without writing repetitive mock boilerplate by hand. ... -
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Feynman
The open source AI research agent
Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. The system is built around a multi-agent architecture that includes roles such as researcher, reviewer, writer, and verifier, each responsible for a specific stage of the research pipeline. ... -
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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OpenSpec
Spec-driven development (SDD) for AI coding assistants
OpenSpec is a lightweight specification layer designed to improve reliability when working with AI coding assistants by formalizing requirements before code generation begins. The project addresses the common issue where AI tools produce inconsistent results when specifications exist only in chat history. It introduces a structured workflow that encourages teams to agree on what should be built before implementation starts. OpenSpec integrates into development pipelines and acts as a source of truth for AI-assisted coding sessions. ... -
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OpenAI Agent Skills
Skills Catalog for Codex
...Each skill is defined with clear metadata and instructions organizing how an AI assistant should complete specific tasks ranging from project management to code generation and documentation assistance. The repository supports community contributions, allowing developers to add new skills or update existing ones to keep the catalog relevant and practical for evolving use cases. -
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Model Zoo
Please do not feed the models
FluxML Model Zoo is a collection of demonstration models built with the Flux machine learning library in Julia. The repository provides ready-to-run implementations across multiple domains, including computer vision, natural language processing, and reinforcement learning. Each model is organized into its own project folder with pinned package versions, ensuring reproducibility and stability. The examples serve both as educational tools for learning Flux and as practical starting points for... -
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GLM-4.5
GLM-4.5: Open-source LLM for intelligent agents by Z.ai
GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for... -
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Must-Watch JavaScript
JavaScript talks you have to see on functional programming
Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
...That design makes Matrix particularly well-suited for large-batch inference, model benchmarking, data curation, augmentation, or generation — whether for language, code, dialogue, or multimodal tasks. It supports both open-source LLMs and proprietary models (via integration with model backends), and works with containerized or sandboxed environments for safe tool execution or external code runs. -
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VibeThinker
Diversity-driven optimization and large-model reasoning ability
VibeThinker is a compact but high-capability open-source language model released by WeiboAI (Sina AI Lab). It contains about 1.5 billion parameters, far smaller than many “frontier” models, yet it is explicitly optimized for reasoning, mathematics, and code generation tasks rather than general open-domain chat. The innovation lies in its training methodology: the team uses what they call the Spectrum-to-Signal Principle (SSP), where a first stage emphasizes diversity of reasoning paths (the “spectrum” phase) and a second stage uses reinforcement techniques (the “signal” phase) to refine toward correctness and strong reasoning. ... -
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Toolpad Core
Full stack components and low-code builder for dashboards and internal
Toolpad is a self‑hosted, open‑source, low‑code admin/dashboard builder and a collection of full-stack React components tailored for building internal tools and dashboards. Created by the team behind Material‑UI (MUI), it enables rapid development by combining drag‑and‑drop UI construction with tight backend integration. Toolpad Core provides the component library for Next.js/Vite projects, while the deprecated Toolpad Studio offered a visual builder interface. -
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StateView
Inflate loadingView/emptyView/retryView/anyView at runtime
StateView is a lightweight control that inherits from View and absorbs some features of ViewStub. It is invisible in the initial state, does not occupy the layout position, and takes up little memory. The view will not be added to the layout until the view is empty/retry/loaded. -
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Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
Book6_First-Course-in-Data-Science is an open-source educational project that serves as part of the “Iris Book” series focused on teaching data science and machine learning concepts through a combination of mathematics, programming, and visualization. The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. -
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ML-NLP
This project is a common knowledge point and code implementation
ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training methods, and common algorithmic techniques. ... -
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React Bits
React patterns, techniques, tips and tricks
React Bits is a rich open-source resource that distills React patterns, techniques, tips, and tricks for front-end developers of all skill levels. Rather than being a single application, it’s a curated collection of code patterns and antipatterns, common gotchas, best practices, performance tips, styling strategies, and UX variations that help developers write more maintainable and performant React applications. -
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SAM 2
The repository provides code for running inference with SAM 2
SAM2 is a next-generation version of the Segment Anything Model (SAM), designed to improve performance, generalization, and efficiency in promptable image segmentation tasks. It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time... -
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gstack
Use Garry Tan's exact Claude Code setup: 15 opinionated tools
gstack is an opinionated developer toolkit that encapsulates a complete AI-assisted software development workflow by combining multiple specialized roles into a unified command-driven interface. It is designed to replicate a highly structured engineering environment where tasks such as planning, design review, quality assurance, release management, and documentation are handled through predefined commands and workflows. The system includes a set of curated tools that simulate roles like CEO,... -
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Sunfish
Sunfish: a Python Chess Engine in 111 lines of code
sunfish is a minimalist yet surprisingly strong chess engine written in Python, designed to demonstrate how powerful algorithms can be implemented in a highly compact codebase. Despite being only around a hundred lines of core logic, the engine achieves competitive performance, reaching ratings above 2000 on online platforms. It implements classic chess engine techniques such as alpha-beta pruning and efficient board representation while maintaining readability and simplicity. The project is... -
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ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model
ChatGLM-6B is an open bilingual (Chinese + English) conversational language model based on the GLM architecture, with approximately 6.2 billion parameters. The project provides inference code, demos (command line, web, API), quantization support for lower memory deployment, and tools for finetuning (e.g., via P-Tuning v2). It is optimized for dialogue and question answering with a balance between performance and deployability in consumer hardware settings. Support for quantized inference... -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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Decompose
Kotlin Multiplatform lifecycle-aware business logic components
Decompose is a Kotlin Multiplatform library for breaking down your code into tree-structured lifecycle-aware business logic components (aka BLoC), with routing functionality and pluggable UI (Jetpack/Multiplatform Compose, Android Views, SwiftUI, Kotlin/React, etc.). -
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Compose Destinations
Annotation processing library for type-safe Jetpack Compose navigation
A KSP library that processes annotations and generates code that uses Official Jetpack Compose Navigation under the hood. It hides the complex, non-type-safe and boilerplate code you would have to write otherwise. No need to learn a whole new framework to navigate - most APIs are either the same as with the Jetpack Components or inspired by them. -
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Sycamore
A library for creating reactive web apps in Rust and WebAssembly
A reactive library for creating web apps in Rust and WebAssembly. Sycamore harnesses the full power of Rust via WebAssembly, giving you full control over performance. Write code that feels natural. Everything is built on reactive primitives without a cumbersome virtual DOM. No JavaScript. Had enough of JavaScript? So have we. Create apps using Sycamore without touching a single line of JS. -
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Koila
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code
Koila is a lightweight Python library designed to help developers avoid memory errors when training deep learning models with PyTorch. The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward...
