Search Results for "obd source code" - Page 55
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Showing 16722 open source projects for "obd source code"
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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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Realm Core
Core database component for the Realm Mobile Database SDKs
Realm is a mobile database that runs directly inside phones, tablets or wearables, check out realm.io. This repository holds the source code for the core database component used by all the Realm Mobile Database products. Realm Core is not in itself an "end-user" product with a publicly stable and supported API. -
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PasDoc
Documentation tool for ObjectPascal (Free Pascal, Lazarus, Delphi)
PasDoc is a documentation tool for Pascal and Object Pascal source code. Documentation is generated from comments found in the source code or from external files. Many formatting @-tags are supported. Many output formats are supported, including HTML and LaTeX. -
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geemap
A Python package for interactive geospaital analysis and visualization
A Python package for interactive geospatial analysis and visualization with Google Earth Engine. Geemap is a Python package for geospatial analysis and visualization with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE... -
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AntD Admin
An excellent front-end solution for enterprise applications
An excellent front-end solution for enterprise applications. Internationalization, extracting translation fields from source code, loading language packs on demand. Dynamic permissions, different permissions for different menus. Elegant and beautiful, Ant Design system. Mock data, local data debugging. -
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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eslint-plugin-unicorn
More than 100 powerful ESLint rules
More than 100 powerful ESLint rules. You might want to check out XO, which includes this plugin. Each rule has emojis denoting if it belongs to the recommended configuration if some problems reported by the rule are automatically fixable by the --fix command line option, or if some problems reported by the rule are manually fixable by editor suggestions. Use a preset config or configure each rules in package.json. -
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Lightdash
An open source alternative to Looker built using dbt
Lightdash instantly turns your dbt project into a full-stack BI platform. Analysts write metrics and Lightdash enables self-serve for the entire business. All of your fields in Lightdash are defined in your dbt project making it super easy to keep all of your business logic in one place. Use the Lightdash CLI with your favourite text editor to test, preview & save your changes in Lightdash. With just a few clicks, you can create beautiful charts from the data you’ve added to your Lightdash... -
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Nexent
Zero-code platform for building AI agents from natural language input
Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. -
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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. ... -
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
RD-Agent is an open source AI framework designed to automate research and development workflows in data-driven domains. It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. ... -
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Machine learning algorithms
Minimal and clean examples of machine learning algorithms
Machine learning algorithms is an open-source repository that provides minimal and clean implementations of machine learning algorithms written primarily in Python. The project focuses on demonstrating how fundamental machine learning methods work internally by implementing them from scratch rather than relying on high-level libraries. This approach allows learners to study the mathematical and algorithmic details behind widely used models in a transparent and readable way. -
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Transfer Learning Repo
Transfer learning / domain adaptation / domain generalization
Transfer Learning Repo is an open-source repository that compiles resources, code implementations, and academic references related to transfer learning and its related research areas. The project functions as a large knowledge hub that organizes papers, tutorials, datasets, and software implementations across topics such as domain adaptation, domain generalization, multi-task learning, and few-shot learning. -
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DocETL
A system for agentic LLM-powered data processing and ETL
DocETL is an open-source system designed to build and execute data processing pipelines powered by large language models, particularly for analyzing complex collections of documents and unstructured datasets. The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. -
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Opacus
Training PyTorch models with differential privacy
...Open source, modular API for differential privacy research. Everyone is welcome to contribute. ML practitioners will find this to be a gentle introduction to training a model with differential privacy as it requires minimal code changes. Differential Privacy researchers will find this easy to experiment and tinker with, allowing them to focus on what matters. -
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SeedVR2 Upscaler ComfyUI
Official SeedVR2 Video Upscaler for ComfyUI
ComfyUI-SeedVR2 Video Upscaler is an open-source integration node for the ComfyUI workflow environment that brings the advanced SeedVR2 video upscaling and restoration model directly into visual AI pipelines. This project packages the SeedVR2 architecture as a custom node for ComfyUI, letting users upscale low-resolution video or imagery inside a node-based interface without needing to write code manually. -
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GraphQL for .NET
This is an implementation of Facebook's GraphQL in .NET
GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data. A GraphQL service is created by defining types and fields on those types, then providing functions for each field on each type. All packages generated from this repository come with embedded pdb and support Source Link. If you are having difficulty understanding how the code works or have encountered an error, then it is just enough to enable Source Link in your IDE settings. ... -
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ComfyUI-LTXVideo
LTX-Video Support for ComfyUI
ComfyUI-LTXVideo is a bridge between ComfyUI’s node-based generative workflow environment and the LTX-Video multimedia processing framework, enabling creators to orchestrate complex video tasks within a visual graph paradigm. Instead of writing code to apply effects, transitions, edits, and data flows, users can assemble nodes that represent video inputs, transformations, and outputs, letting them prototype and automate video production pipelines visually. This integration empowers... -
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Mall Learning
Tutorial and sample-code repository
mall-learning is a tutorial and sample-code repository that explores an entire e-commerce system architecture from backend to frontend. The associated “mall” project (with tens of thousands of stars) is an open-source full-stack e-commerce platform built with Spring Boot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, MySQL and containerized via Docker. The learning repository breaks down architecture, business modules (products, orders, marketing, members), deployment (Linux, Docker, Jenkins) and technical points in detail. ... -
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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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Materialize
Materialize, a web framework based on Material Design
Materialize, a CSS Framework based on Material Design. Using VanillaJS and as less dependencies as possible to keep it fast and simple. We use TypeScript since it builds upon JavaScript and enhances the type- and code safety. You don't have to learn or integrate any new or crappy stuff. The goal here is to stick to the roots. Just copy and paste from the documentation and you are good to go. Most of the Features work event without JavaScript. Components should be useable by mobile devices... -
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Obsidian Local GPT
Local Ollama and OpenAI-like GPT's assistance for maximum privacy
Obsidian Local GPT is a plugin that embeds AI assistance directly into the Obsidian knowledge management environment while prioritizing privacy and local execution. It supports both local models through Ollama and OpenAI-compatible APIs, allowing users to choose between fully offline workflows or hybrid setups. The plugin introduces an “Action Palette” system that enables users to run predefined or custom AI-powered actions on selected text, notes, or entire documents. It integrates deeply... -
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Session Desktop
A Decentralized, Onion Routed, Private Messenger
Session Desktop is an open-source, privacy-focused messaging application that brings secure, decentralized communication to desktop environments such as Windows, macOS, and Linux, providing users with encrypted text, media, and group chats without requiring phone numbers or email addresses. Built on the Session protocol and the Loki network, it routes messages through a distributed onion-routing network that hides metadata like sender, timing, and location so that conversations are resistant... -
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pyttsx3
Offline Text To Speech synthesis for python
pyttsx3 is an offline text-to-speech library for Python that wraps native speech engines instead of calling cloud APIs. It is designed to work entirely without an internet connection, making it suitable for local automation, kiosks, accessibility tools, and embedded applications. On Windows it uses SAPI5, on Linux it typically uses eSpeak or eSpeak-NG, and on macOS it can use NSSpeechSynthesizer or AVSpeechSynthesizer, giving it broad cross-platform compatibility. The library exposes a... -
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MCPB
One-click local MCP server installation in desktop apps
MCPB (MCP Bundles) defines a packaging format and toolchain for one-click installation of local Model Context Protocol (MCP) servers in desktop apps like Claude for macOS and Windows. An .mcpb file is a zip archive containing your server and a manifest.json that declares capabilities, entry points, permissions, and configuration inputs, much like how .crx packages Chrome extensions or .vsix packages VS Code extensions. The goal is to make local tool servers easy for end users to install,... -
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nanoGPT
The simplest, fastest repository for training/finetuning models
NanoGPT is a minimalistic yet powerful reimplementation of GPT-style transformers created by Andrej Karpathy for educational and research use. It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare... -
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Phoenix Framework
Peace of mind from prototype to production
Phoenix is a high-performance, productive web development framework written in Elixir. It runs on the Erlang VM (BEAM). It is designed to support both traditional request/response web applications. It also supports real-time, soft-real-time applications via WebSockets, channels, PubSub, and presence features. Phoenix emphasizes fault tolerance, scalability, and developer productivity. It provides tools like code generators, LiveView integration, templating, routing, and a flexible plug...
