Search Results for "or-tools" - Page 67
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Showing 14243 open source projects for "or-tools"
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EEGLAB
EEGLAB is an open source signal processing environment
EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). ... -
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emoj
Find relevant emoji from text on the command-line
Emoj is a command-line utility for finding emojis that are relevant to words or phrases entered by the user. It relies on a local emoji database, so searches do not need an external search service. A standard command returns a configurable number of matching emojis directly in the terminal. Running the utility without arguments opens an interactive live-search interface instead. Users can navigate results with the keyboard, select emojis, and copy them directly to the clipboard. The tool... -
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Quick Look plugins
List of useful Quick Look plugins for developers
...It is aimed particularly at developers who frequently inspect source code, configuration files, archives, documents, and specialized technical formats without opening full applications. The collection includes tools for Markdown, JSON, plain text, source code, archives, application bundles, installer packages, video, provisioning profiles, and various image formats. It also lists more specialized previewers for chemistry files, 3D-printing models, folders, and mathematical Markdown. Both free and commercial options are included, with installation information provided through Homebrew or manual installation where applicable. ... -
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Cha
Deprecated AI CLI for terminal based interactions
Cha is a command-line AI assistant for terminal-based interaction with large language models. It was designed to let developers chat with AI from the terminal while keeping control over the workflow and environment. The repository now serves as a historical reference because active development moved to Ch, a faster Go-based successor. Cha included support materials such as optional search setup assets, including SearXNG-related configuration instructions. Its value today is mostly archival,... -
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AI Coding Dictionary
AI coding jargon, explained in plain English
...It is designed for developers who use coding agents but feel slowed down by unclear vocabulary, hidden assumptions, confusing billing concepts, and inconsistent model behavior. The dictionary organizes terms across models, context windows, tools, environments, failure modes, handoffs, and related AI coding workflows. Its tone is intentionally direct and accessible, avoiding dense academic or vendor-heavy language. The project helps users name what is happening when prompts fail, context degrades, tools behave unexpectedly, or agent sessions become hard to manage. Its main value is turning AI coding jargon into practical vocabulary that developers can understand quickly and use in real work. -
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Verticals v3
Automated YouTube Shorts pipeline
Verticals v3 is an automated content generation workflow designed to create and process YouTube Shorts videos programmatically. It combines multiple tools and scripts to handle tasks such as downloading source material, editing clips, adding subtitles, and formatting output for vertical video platforms. The pipeline emphasizes automation, allowing users to produce short-form content at scale with minimal manual intervention. It integrates FFmpeg and other media processing tools to handle video transformations, resizing, and encoding. ... -
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ML Intern
ML engineer that reads papers, trains models, and ships ML models
...The project includes tutorials, datasets, and example implementations that guide users through different aspects of ML development. It emphasizes hands-on learning, encouraging users to build and experiment rather than passively consume information. The repository also introduces tools and libraries commonly used in the Hugging Face ecosystem. It is structured to help users progressively build skills and confidence in AI development. Overall, ML Intern is a practical learning platform for aspiring machine learning engineers. -
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all AI news
A list of online news & info sources in the AI/ML/Data Science space
...The project is designed to be easily extendable, allowing users to add new sources or customize the dataset for their specific needs. It is particularly useful for developers building AI news platforms, dashboards, or monitoring tools. The repository emphasizes organization and categorization, making it easier to filter and manage large amounts of information. It can also be integrated into automated pipelines for content collection and analysis. Overall, it provides a foundational dataset for tracking AI industry trends and updates. -
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xqvm-py
A python implementation of the Quip Network's quantum virtual machine
xq-py is a Python implementation of the Quip Network’s quantum virtual machine, offering a more accessible and flexible alternative to the Rust-based version for experimentation and rapid development. It is designed to provide similar functionality to xq-rs while prioritizing ease of use, readability, and integration with Python-based data science and research tools. The project enables developers to simulate or prototype quantum-inspired computations without needing to work at a lower systems level. It integrates into the broader Quip ecosystem, allowing interoperability with other components such as blockchain nodes and management tools. Python’s dynamic nature makes it suitable for testing new algorithms, educational purposes, and exploratory research. ... -
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claurst
Your favorite Terminal Coding Agent, now in Rust
...The project likely explores how agents can be designed to handle complex workflows through modular components and clearly defined execution steps. It may include abstractions for managing context, decision-making, and interaction with external tools, enabling agents to perform multi-step tasks efficiently. The architecture suggests a focus on flexibility, allowing developers to adapt the system to different use cases or domains. It is likely intended as a lightweight but extensible platform for experimenting with agent behavior and orchestration. The project may also emphasize simplicity, making it accessible for developers who want to prototype agent systems quickly. -
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LightZero
[NeurIPS 2023 Spotlight] LightZero
LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms. -
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HDBSCAN
A high performance implementation of HDBSCAN clustering
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster... -
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TextAttack
Python framework for adversarial attacks, and data augmentation
Generating adversarial examples for NLP models. TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. -
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dapr
Dapr is portable, event-driven, runtime for building distributed apps
Dapr is a portable, serverless, event-driven runtime that makes it easy for developers to build resilient, stateless, and stateful microservices that run on the cloud and edge and embrace the diversity of languages and developer frameworks. Dapr codifies the best practices for building microservice applications into open, independent, building blocks that enable you to build portable applications with the language and framework of your choice. Each building block is independent and you can... -
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RestClient for Unity
A Promise based REST and HTTP client for Unity
...Make HTTP requests from Unity. Supports HTTPS/SSL. Built on top of UnityWebRequest system. Transform request and response data (JSON serialization with JsonUtility or other tools) Automatic transforms for JSON Arrays. Supports default HTTP Methods (GET, POST, PUT, DELETE, HEAD, PATCH) Generic REQUEST method to create any http request. Based on Promises for better asynchronous programming. Learn about Promises here! Utility to work during a scene transition. Handle HTTP exceptions and retry requests easily. -
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Graphene
GraphQL in Python Made Easy
...Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine. -
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Pokétwo ∆ Autocatcher
The most legit & advanced Poketwo autocatcher
Pokétwo Autocatcher is an automation-oriented tool built around the Pokétwo Discord game ecosystem. It is presented as a lightweight program for catching Pokémon, leveling, market actions, mass trading, spawn tracking, and related Pokétwo workflows. The project emphasizes one-click setup, configuration commands, custom filters, adjustable delays, notifications, and support for both desktop and mobile usage. It also includes systems for rare spawn alerts, catch logging, level queues, market... -
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AI-Trader
100% Fully-Automated Agent-Native Trading
AI-Trader is an open-source AI-powered quantitative trading framework designed to combine financial analysis, machine learning, and autonomous trading workflows into a unified research platform. The project integrates large language models, financial indicators, market analysis pipelines, and automated decision-making systems to support strategy generation and market prediction tasks. It is built to help researchers and developers experiment with AI-assisted trading strategies using... -
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AI-DLC
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI
...The project promotes an “AI-Driven Life Cycle” methodology where coding assistants, IDE agents, and automation systems participate directly in planning, implementation, testing, and operational workflows. Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools such as Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, and Cline. The repository emphasizes reproducible development processes, workflow portability, and AI-guided engineering discipline across different environments. It also explores specification-driven development and layered workflow architectures that standardize how AI systems interact with software projects. -
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Libdragon
Open source library for N64 development
Libdragon is an open-source SDK that enables developers to create software and games for the Nintendo 64 using modern programming tools and practices. It replaces the original proprietary development kits with a fully open toolchain based on GCC and standard C libraries, allowing a more accessible and flexible development experience. The library provides both low-level access to hardware and higher-level abstractions for graphics, audio, and input handling. It supports advanced features such as accelerated 2D rendering and efficient memory management tailored to the N64 architecture. ... -
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MedgeClaw
Open-source AI research assistant for biomedicine
...The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. 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. -
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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... -
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MCM-ICM
Mathematical Contest resources
...It has evolved from a single-maintainer project into a collaborative effort, with different contributors stewarding successive year ranges so the collection stays current. The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines. -
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Taisei Project
A free and open-source Touhou Project fangame
...It aims to be a faithful recreation of the classic Touhou gameplay experience, complete with original assets that capture the aesthetics and charm of the original series. Built using portable and modern tools, it runs across platforms including Linux, Windows, macOS, and even web browsers via WebGL. The game is designed with accessibility and modding in mind, making it an appealing entry point for both players and developers. -
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Reor Project
Private & local AI personal knowledge management app
Reor is an AI-powered desktop note-taking app: it automatically links related notes, answers questions on your notes, provides semantic search and can generate AI flashcards. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor. The hypothesis of the project is that AI tools for thought should run models locally by default. Reor stands on the shoulders of the giants Ollama, Transformers.js & LanceDB to enable both LLMs and embedding models to run locally.
