Search Results for "python-i2c-tiny-usb" - Page 41
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Showing 3765 open source projects for "python-i2c-tiny-usb"
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Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently... -
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LBRY SDK
The LBRY SDK for building decentralized content apps
...LBRY also provides a data network that consists of peers (seeders) uploading and downloading data from other peers, possibly in exchange for payments, as well as a distributed hash table used by peers to discover other peers. LBRY SDK for Python is currently the most fully featured implementation of the LBRY Network protocols and includes many useful components and tools for building decentralized applications. -
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Splinter
Splinter - Python test framework for web applications
Splinter is a Python test framework for web applications, providing a simple and consistent API for browser automation and testing. -
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FastAPI CRUD Router
A dynamic FastAPI router that automatically creates CRUD routes
Tired of rewriting generic CRUD routes? Need to rapidly prototype a feature for a presentation or a hackathon? Thankfully, fastapi-crudrouter has your back. As an extension to the APIRouter included with FastAPI, the FastAPI CRUDRouter will automatically generate and document your CRUD routes for you, all you have to do is pass your model and maybe your database connection. fastapi-crudrouter provides a number of features that allow you to get the most out of your automatically generated... -
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Packj
Stops Solarwinds-, ESLint-, and PyTorch-like attacks
Packj is a security tool that analyzes open-source packages for potential security risks, supply chain attacks, and malicious behaviors. It helps developers vet dependencies before using them in projects, reducing vulnerabilities in software development. -
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guiscrcpy
Full fledged GUI integration for the Android screen mirroring system
A simple, pluggable, graphical user interface for the fastest Android screen mirroring software, scrcpy. guiscrcpy is a multiplatform, ready-to-use GUI layer for Android to PC screen mirroring written in the advancing programming language python3 for the most award-winning open-source android screen mirroring system. -
7
albert_zh
Implementation of A Lite Bert For Self-Supervised Learning Language
...It implements ALBERT with TensorFlow and provides Chinese pretrained models designed to reduce parameter size while preserving strong language understanding performance. The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair semantic similarity and Chinese classification benchmarks. The repository includes support paths for TensorFlow, PyTorch conversion, Keras loading, TensorFlow 2.0 loading, and TensorFlow Lite deployment for mobile scenarios. ... -
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Classic HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode.... -
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Workalendar
Worldwide holidays and workdays computational toolkit
Worldwide holidays and workdays computational toolkit. Workalendar is a Python module that offers classes able to handle calendars, list legal/religious holidays and give working-day-related computation functions. This library is ready for production, although we may warn eventual users: some calendars may not be up-to-date, and this library doesn’t cover all the existing countries on earth (yet). -
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Yapsy
A fat-free DIY Python plugin management toolkit.
...It is designed to offer a set of very lean classes (plugin managers and plugin interfaces) which can easily be customised by decoration or inheritance. Yapsy v1.x supports Python2 and Python3. Its source package contains versions of the sources for both pythons. Yapsy v2+ supports Python 3 and it's development happens now on https://github.com/tibonihoo/yapsy/ Usage samples, advices and developer's documentations are available on the main website. -
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Komodo Edit
Komodo Edit is a fast and free multi-language code editor
Python, PHP, Perl, Go, Ruby, Node.js, JavaScript, and more. Define your own workflow with easy file and project navigation. Backed by ActiveState, trusted by developers and enterprises. -
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Termux APT Repo
Script to create Termux apt repositories
termux-apt-repo is a script designed to create APT repositories for Termux, allowing users to publish and distribute their own packages. It supports cross-compiled packages created using the Termux build setup or on-device packages created with termux-create-package. This tool facilitates the sharing and installation of custom packages within the Termux environment. -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. -
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Kanbanara
Web-based Project Management System using the Kanban methodology
Kanbanara, a web-based Project Management System, uses the Kanban methodology. Started in 2013, the product is already quite well advanced. It is written in Python 3.7+ and utilizes MongoDB and CherryPy. Its Kanban board features projects, user-definable workflow with custom states, support for epic, feature, story, enhancement, defect, task, test, bug and transient cards, global and personal WIP limits, role-based columns (Owner, Reviewer or Quality Assurance), support for ghost cards (cards on their way to you or your own cards currently being reviewed or in QA), blockable cards, hidable cards, deferable cards, 46 card styles including a customisable one, 14-day future projection, Gantt Chart andcard backdrops. ... -
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Neural Network Visualization
Project for processing neural networks and rendering to gain insights
nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. -
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MAX StressTester
MAX StressTester: Python stress testing tool for max CPU, RAM and Disk
Disclaimer:im still working on this project please provide any feedback of bugs if you want :D helps me improve the experience for others. Also, windows might flag the exe file for a virus as it a python to exe file (might fix it later) this explains why it could be flagged as a virus on some virus detectors: https://s.id/1Cuk1 MAX StressTester is an open-source stress testing tool developed by ssit, available on the popular software development platform, SourceForge. The tool is written in Python, making it easy to use and highly customizable for stress testing purposes. ... -
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UnionML
Build and deploy machine learning microservices
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. -
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Rocketry
Modern scheduling library for Python
Scheduler to power your Python apps. Rocketry is a modern statement-based scheduling framework for Python. It is simple, clean and extensive. It is suitable for small and big projects. Unlike the alternatives, Rocketry's scheduler is statement-based. Rocketry natively supports the same scheduling strategies as the other options, including cron and task pipelining, but it can also be arbitrarily extended using custom scheduling statements. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce... -
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stop-smoke
App to help you stop smoking.
A lightweight open-source application meant to provide assistance in your endeavor to quit smoking or at least not smoke so often. This software will help you stop smoking. You can set the starting interval between cigarettes and the app will let you know when you can smoke again. -
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quantitative
Quantized transactions python3
...The README and associated lessons walk the user through implementing algorithms, likely covering data handling, backtesting, and maybe simple trading logic. As an open-source educational resource, it’s designed for Python users interested in automatic trading, algorithmic strategies, and financial data analysis. -
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Python script to get the last 5 minutes of accepted traffic logs via the trendmicro email security API and send them to a syslog server Script Python para obtener los ultimos 5 minutos de logs de trafico aceptado por medio de la API de trendmicro email security y enviarlos a un servidor de syslog Crontab */5 * * * * /usr/local/bin/python3.9 /home/user/tmes-syslog_0.02.py 2>&1 > /home/user/errores.txt ------------ # API documentation # Getting Started with Trend Micro Email Security APIs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with.aspx # Obtaining the API Key # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with/obtaining-the-api-ke.aspx # List Mail Tracking Logs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/supported-apis/logs/list-mail-tracking-l.aspx
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gjots2
hierarchical note jotter - organise your ideas, notes, facts in a tree
2023/04/04: MIGRATED TO https://gitlab.com/wef/gjots2 gjots2 is a fairly simple jotter (outline processor) application for your desktop. See http://bhepple.freeshell.org/gjots -
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OpsManage
Automated operation and maintenance platform
...Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. Backend Task Framework, Celery + Redis. Programming language is Python 3.6. Operating System is CentOS 6+. Ansible version 2.6+. Deployment platform and node server Rsync 3+. -
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Twinify
Privacy-preserving generation of a synthetic twin to a data set
twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI)....
