Search Results for "python-i2c-tiny-usb" - Page 52

Showing 14626 open source projects for "python-i2c-tiny-usb"

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  • 1
    Dynamiq

    Dynamiq

    An orchestration framework for agentic AI and LLM applications

    Dynamiq is an open-source orchestration framework designed to streamline the development of generative AI applications that rely on large language models and autonomous agents. The framework focuses on simplifying the creation of complex AI workflows that involve multiple agents, retrieval systems, and reasoning steps. Instead of building each component manually, developers can use Dynamiq’s structured APIs and modular architecture to connect language models, vector databases, and external...
    Downloads: 2 This Week
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  • 2
    WhisperJAV

    WhisperJAV

    Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD

    WhisperJAV is an open-source speech transcription pipeline designed specifically for generating subtitles for Japanese adult video content. The project addresses challenges that standard speech recognition models face when transcribing this type of audio, which often includes low signal-to-noise ratios and large numbers of non-verbal vocalizations. Traditional automatic speech recognition systems can misinterpret these sounds as words, leading to inaccurate transcripts. WhisperJAV introduces...
    Downloads: 7 This Week
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  • 3
    Shell-AI

    Shell-AI

    LangChain powered shell command generator and runner CLI

    Shell-AI is an open-source command-line interface utility that allows users to generate and execute shell commands using natural language prompts. Instead of requiring users to remember complex command syntax, the tool lets them describe their intent in plain English and automatically suggests commands that accomplish the task. The system is powered by large language models and integrates with frameworks such as LangChain to interpret user requests and translate them into executable shell...
    Downloads: 2 This Week
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  • 4
    WhatBreach

    WhatBreach

    OSINT tool for discovering email addresses in known data breaches

    WhatBreach is an open source OSINT (Open Source Intelligence) tool designed to help users discover whether an email address has appeared in known data breaches. It simplifies the process of investigating compromised credentials by allowing users to search for a single email address or analyze multiple email addresses at once. It gathers breach information from various sources and APIs to identify where the email has been exposed in leaked databases or online paste sites. Once breaches are...
    Downloads: 7 This Week
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    Pixeltable

    Pixeltable

    Data Infrastructure providing an approach to multimodal AI workloads

    Pixeltable is an open-source Python data infrastructure framework designed to support the development of multimodal AI applications. The system provides a declarative interface for managing the entire lifecycle of AI data pipelines, including storage, transformation, indexing, retrieval, and orchestration of datasets. Unlike traditional architectures that require multiple tools such as databases, vector stores, and workflow orchestrators, Pixeltable unifies these functions within a table-based abstraction. ...
    Downloads: 2 This Week
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  • 6
    Flowsint

    Flowsint

    Graph-based OSINT investigation platform w visual relationship mapping

    Flowsint is an open source OSINT investigation platform designed to help analysts explore and understand relationships between digital entities through a visual graph interface. The platform focuses on reconnaissance and open source intelligence workflows, enabling investigators to map connections between domains, IP addresses, organizations, individuals, and other data points. By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns,...
    Downloads: 7 This Week
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  • 7
    DocETL

    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. Instead of relying on single prompts or ad-hoc scripts, DocETL...
    Downloads: 2 This Week
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  • 8
    Claude Scientific Skills

    Claude Scientific Skills

    A set of ready to use Agent Skills for research, science, engineering

    Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills...
    Downloads: 7 This Week
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  • 9
    Claude Code Usage Monitor

    Claude Code Usage Monitor

    Real-time Claude Code usage monitor with predictions and warnings

    ...The project is designed to help users avoid unexpectedly hitting usage caps by continuously tracking token burn rate, message counts, and estimated costs during active sessions. It presents analytics through a visually rich terminal interface built with modern Python tooling, making it easy to interpret usage trends at a glance. The system includes predictive logic that estimates whether a session is likely to exceed limits before completion, allowing proactive adjustments to workflows. Its architecture emphasizes modularity and extensibility, supporting multiple Claude plan configurations and customizable monitoring behavior. ...
    Downloads: 2 This Week
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  • 10
    Shumai

    Shumai

    Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun

    ...It allows seamless integration of machine learning, deep learning, and custom differentiable programs into web-based or server-side environments without relying on Python frameworks. The library supports matrix operations, gradient computation, and tensor conversions with intuitive APIs and near-native speed, thanks to Bun’s low-overhead FFI bindings. It can automatically leverage GPU acceleration on Linux (via CUDA) and CPU computation on macOS.
    Downloads: 2 This Week
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  • 11
    Public APIs

    Public APIs

    A collective list of free APIs

    public-apis is a collaboratively maintained repository that provides an extensive, categorized list of publicly available APIs for developers. Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and...
    Downloads: 7 This Week
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  • 12
    Pfl Research

    Pfl Research

    Simulation framework for accelerating research

    A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives).
    Downloads: 0 This Week
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  • 13
    RealtimeSTT

    RealtimeSTT

    A robust, efficient, low-latency speech-to-text library

    RealtimeSTT is a Python-based realtime speech-to-text engine emphasizing low latency, wake-word detection, voice activity detection, and automatic speech segmentation. It provides asynchronous callbacks, nanosecond-precision timestamps, and CLI tools, suitable for building voice assistants, meeting transcribers, or live caption systems.
    Downloads: 0 This Week
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  • 14
    Cookiecutter

    Cookiecutter

    A cross-platform command-line utility that creates projects

    Cookiecutter is a command-line utility to create projects from customizable and reusable templates. It helps bootstrap new projects with consistent structure, metadata, licensing, CI configs, and more—streamlining setup for a wide range of software projects.
    Downloads: 0 This Week
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  • 15
    ChatDBG

    ChatDBG

    ChatDBG - AI-assisted debugging. Uses AI to answer 'why'

    ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers like pdb, lldb, and gdb. It allows developers to engage in a dialog with the debugger, asking open-ended questions about their program's behavior, and provides error diagnoses and suggested fixes.
    Downloads: 0 This Week
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  • 16
    Classical Language Toolkit (CLTK)

    Classical Language Toolkit (CLTK)

    The Classical Language Toolkit

    The Classical Language Toolkit (CLTK) is a Python library offering natural language processing support for classical languages, including Latin, Greek, and others.
    Downloads: 0 This Week
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  • 17
    LLM CLI

    LLM CLI

    Access large language models from the command-line

    A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.
    Downloads: 0 This Week
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  • 18
    FastHTML

    FastHTML

    The fastest way to create an HTML app

    Built on solid web foundations, not the latest fads - with FastHTML you can get started on anything from simple dashboards to scalable web applications in minutes.
    Downloads: 0 This Week
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  • 19
    Semantix

    Semantix

    Non-Pydantic, Non-JSON Schema, efficient AutoPrompting

    Semantix empowers developers to infuse meaning into their code through enhanced variable typing (semantic typing). By leveraging the power of large language models (LLMs) behind the scenes, Semantix transforms ordinary functions into intelligent, context-aware operations without explicit LLM calls.
    Downloads: 0 This Week
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  • 20
    NGBoost

    NGBoost

    Natural Gradient Boosting for Probabilistic Prediction

    ngboost is a Python library that implements Natural Gradient Boosting, as described in "NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top of Scikit-Learn and is designed to be scalable and modular with respect to the choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in this slide deck.
    Downloads: 0 This Week
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  • 21
    PySR

    PySR

    High-Performance Symbolic Regression in Python and Julia

    PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several years, PySR has been engineered from the ground up to be (1) as high-performance as possible, (2) as configurable as possible, and (3) easy to use. PySR is developed alongside the Julia library SymbolicRegression.jl, which forms the powerful search engine of PySR. The details of these algorithms are...
    Downloads: 2 This Week
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  • 22
    Mashumaro

    Mashumaro

    Fast and well tested serialization library on top of dataclasses

    When using data classes, you often need to dump and load objects based on the schema you have. Mashumaro not only lets you save and load things in different ways, but it also does it super quickly.
    Downloads: 0 This Week
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  • 23
    ScanAPI

    ScanAPI

    Automated Integration Testing and Live Documentation for your API

    Given an API specification, written in YAML/JSON format, ScanAPI hits the specified endpoints, runs the test cases, and generates a detailed report of this execution - which can also be used as the API documentation itself. With almost no Python knowledge, the user can define endpoints to be hit, the expected behavior for each response and will receive a full real-time diagnostic report of the API.
    Downloads: 0 This Week
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  • 24
    Tequila

    Tequila

    A High-Level Abstraction Framework for Quantum Algorithms

    Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices.
    Downloads: 0 This Week
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  • 25
    LLaMA Efficient Tuning

    LLaMA Efficient Tuning

    Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon

    Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)
    Downloads: 0 This Week
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