Search Results for "python windows ui" - Page 25
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Showing 1175 open source projects for "python windows ui"
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Cancelable Async Flows
Cancelable Async Flows (CAF)
CAF (Cancelable Async Flows) is a small utility that brings cooperative cancellation to JavaScript async workflows. It wraps async generators or promise-returning functions so they can respond to a cancel signal and halt work early, preventing wasted CPU and stray side effects. The library encourages a disciplined pattern: pass a token into your task, periodically check it, and unwind gracefully when cancellation is requested. This approach avoids brittle timeouts and “fire-and-forget” leaks... -
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MessageThrottle
A lightweight Objective-C message throttle and debounce library
MessageThrottle is a runtime Objective-C library that allows developers to throttle or debounce Objective-C messages (method calls). It helps optimize performance by limiting the frequency of method executions, useful in scenarios like UI updates or event handling. -
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100+ Python Projects Challenge
100+ Python Projects Challenge
100+ Python Projects Challenge is a project-based Python learning repository focused on building many small applications and utilities. Instead of only practicing isolated syntax, it encourages learners to apply Python through complete mini-projects. The challenges span practical scripts, beginner applications, automation ideas, games, data tasks, and other hands-on exercises. This makes it useful for users who want to build a portfolio of small programs while reinforcing programming... -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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NeoPOP
NeoPOP components library based on CRED's design system
NeoPOP is a React component library based on CRED’s NeoPOP design system, created to deliver a bold, modern, and highly expressive visual language for web applications. The library focuses on producing visually rich components that emphasize depth, elevation, and motion, aligning with NeoPOP’s philosophy of creating affirmative and engaging user interfaces. It provides a set of reusable components, primitives, hooks, and utility functions that developers can combine to build cohesive and... -
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Flukit
Flutter UI Kit
flukit is a Flutter UI toolkit (a component/widget library) that provides a suite of useful UI widgets and features (e.g. scale views, pull-to-refresh, watermark, swipers, custom progress indicators) to speed development of Flutter apps. Swiper component (carousel/swipe view). GradientCircularProgressIndicator widget for custom progress visuals. Collection of other utility UI widgets to complement Flutter core widgets. -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU... -
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rrule.js
JS library for working with recurrence rules for calendar dates
JavaScript library for working with recurrence rules for calendar dates as defined in the iCalendar RFC and more. rrule.js supports recurrence rules as defined in the iCalendar RFC, with a few important differences. It is a partial port of the rrule module from the excellent python-dateutil library. On top of that, it supports parsing and serialization of recurrence rules from and to natural language. -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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osm4scala
Reading OpenStreetMap Pbf files.
Scala and polyglot Spark library (Scala, PySpark, SparkSQL, ... ) focused on reading OpenStreetMap Pbf files. -
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Flutter Hooks
React hooks for Flutter
flutter_hooks extends Flutter with a hooks system inspired by React Hooks, aiming to simplify stateful logic inside widgets. It allows developers to reuse and isolate stateful behaviors like animations, controllers, and subscriptions without writing boilerplate StatefulWidgets. Common hooks like useState, useEffect, and useMemoized provide clear ways to manage lifecycle and dependencies inside a widget’s build method. The library improves code readability by keeping logic close to the UI... -
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comby
A code rewrite tool for structural search and replace that supports
Comby is a tool for searching and changing code structure. Use lightweight templates to easily search and change code, HTML, or JSON. Comby is designed to work on any language or data format. Perform richer search and replace because Comby understands the syntax of code blocks, strings, and comments for your language. Comby is ideal for touching up pieces of code. Use it to translate code like this Python 2 to 3 fixer on the right to replace deprecated methods. Easily write one-off refactors... -
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Riverpod
A reactive caching and data-binding framework
Riverpod is a modern, framework-agnostic state management and dependency injection library for Dart and Flutter that emphasizes compile-time safety and explicit data flow. Instead of tying state to widget trees, it models state as providers that can be read anywhere, making logic more testable and decoupled from UI. It supports synchronous state, async data (futures/streams) with built-in loading/error handling, and advanced patterns like derived state and provider scopes. Riverpod’s design... -
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Whisper Library
Whisper is a file-based time-series database format for Graphite
Whisper is one of three components within the Graphite project. Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data. Copies data from src in dst, if missing. Unlike whisper-merge, don't overwrite data that's already present in the target... -
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Material Components for the web
Modular & customizable Material Design UI components for the web
Build beautiful, usable web apps with Material Components for the web. Material Components for the web is the successor to Material Design Lite, implementing the impeccable Material Design guidelines. It lets developers apply beautiful, modular and customizable Material Design UI components to their products. With these components you can be assured of a reliable development workflow and stunning, highly functional web projects. Seamlessly incorporate Material Components for the web on... -
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Material Design
Material design for AngularJS
AngularJS Material is an implementation of Google's Material Design Specification (2014-2017). This project provides a set of reusable, well-tested, and accessible UI components for AngularJS developers. AngularJS Material has entered the Long Term Support (LTS) period. The AngularJS Material library is a mature and stable product that is ready for production use. Developers should note that AngularJS Material works only with AngularJS 1.x. AngularJS 1.x is now in Long Term Support (LTS)... -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
Faster-Rcnn is a PyTorch implementation of the Faster R-CNN two-stage object detection model. It is designed for training and evaluating detectors on VOC-format datasets, including VOC07+12 and custom datasets arranged with VOC-style annotations and images. The repository includes scripts for training, prediction, evaluation, annotation generation, and model summary inspection. It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature... -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,... -
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DeepLabv3 Plus
Encoder-Decoder with Atrous Separable Convolution
DeepLabv3 Plus is a PyTorch implementation of DeepLabv3+ for semantic segmentation. It implements the encoder-decoder architecture with atrous separable convolution and provides a practical workflow for training, prediction, and mIoU evaluation. The repository supports VOC-style segmentation datasets and includes utilities for annotation generation, JSON dataset conversion, model summary inspection, prediction, and metric calculation. It provides pretrained weight workflows for MobileNetV2... -
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AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate... -
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Binarytree
Python library for studying Binary Trees
Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms. -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing...