#csharp #android #desktop #dotnet #dotnet_maui #hacktoberfest #ios #maccatalyst #macos #maui #mobile #windows #winui

https://github.com/CommunityToolkit/Maui

#vue #components #javascript #js #material #material_design #mobile #ts #typescript #ui #ui_kit #ui_library #vue3 #vuejs3

https://github.com/varletjs/varlet

#dart #android #browser #cookie_manager #flutter #flutter_package #flutter_plugin #flutter_webview #inappbrowser #inappwebview #inline_webview #ios #mobile #plugin #web_storage #webview #webview_control #webview_instances #webview_library #webview_options #wkwebview

https://github.com/pichillilorenzo/flutter_inappwebview

#javascript #console #debugger #developer_tools #eruda #mobile

https://github.com/liriliri/eruda

#typescript #carousel #carousel_component #carousel_plugin #dependency_free #javascript #mobile #mobile_web #react #slider #slider_plugin #slideshow #svelte #touch #touch_evens #vanilla #vue

https://github.com/davidjerleke/embla-carousel

#python #augmix #convnext #distributed_training #dual_path_networks #efficientnet #image_classification #imagenet #maxvit #mixnet #mobile_deep_learning #mobilenet_v2 #mobilenetv3 #nfnets #normalization_free_training #pretrained_models #pretrained_weights #pytorch #randaugment #resnet #vision_transformer_models

PyTorch Image Models (`timm`) is a comprehensive library that includes a wide range of state-of-the-art image models, layers, utilities, optimizers, and training scripts. Here are the key benefits `timm` offers over 300 pre-trained models from various families like Vision Transformers, ResNets, EfficientNets, and more, allowing you to choose the best model for your task.
- **Pre-trained Weights** You can easily extract features at different levels of the network using `features_only=True` and `out_indices`, making it versatile for various applications.
- **Optimizers and Schedulers** It provides several augmentation techniques like AutoAugment, RandAugment, and regularization methods like DropPath and DropBlock to enhance model performance.
- **Reference Training Scripts**: Included are high-performance training, validation, and inference scripts that support multiple GPUs and mixed-precision training.

Overall, `timm` simplifies the process of working with deep learning models for image tasks by providing a unified interface and extensive tools for training and evaluation.

https://github.com/huggingface/pytorch-image-models

#cplusplus #android #audio_processing #c_plus_plus #calculator #computer_vision #deep_learning #framework #graph_based #graph_framework #inference #machine_learning #mediapipe #mobile_development #perception #pipeline_framework #stream_processing #video_processing

MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.

https://github.com/google-ai-edge/mediapipe

#javascript #carousel #gallery #mobile #slider #swipe #swiper #touch #touch_events

Swiper is a free and modern mobile touch slider designed for mobile websites, web apps, and native/hybrid apps. It offers several key features Only imports the modules you use, keeping your app's bundle small.
- **Mobile-friendly** Allows customization of pagination, navigation, and effects like parallax and 3D transitions.
- **Flexible Layout** Delays loading images until they are visible, improving performance.
- **Virtual Slides** Enhances user experience with various navigation options.

Using Swiper benefits you by providing a smooth, hardware-accelerated transition experience, making your mobile applications more engaging and efficient. You can get started quickly with its extensive documentation and demos available.

https://github.com/nolimits4web/swiper

#csharp #android #desktop #dotnet #hacktoberfest #ios #maccatalyst #maui #microsoft #mobile #multi_platform #user_interface #winui #winui3

.NET MAUI is a tool that lets you create apps for many different devices like Android, iOS, iPadOS, macOS, and Windows using just one set of code. This means you can write your app once and it will work on all these platforms. It uses C# and XAML, making it easier and faster to develop apps. With .NET MAUI, you can use Visual Studio tools and emulators to speed up your development process. This saves time and effort because you don't need to write separate codes for each device type.

https://github.com/dotnet/maui

#javascript #api #backend #backend_api #frontend #mobile_development

The FreeAPI.app project is a free and open-source API hub that helps developers learn and work with APIs in any programming language. It offers a wide range of APIs across different industries, making it easy to integrate them into your applications. Here are the key benefits** You can use all the APIs without any cost, allowing you to experiment and build projects freely.
- **Diverse APIs** Clear documentation, code samples, and SDKs make it simple to integrate these APIs into your projects.
- **Community Support** You can run the API hub locally or deploy it to a server, giving you flexibility in your development environment.

This project is great for developers because it removes barriers to entry, offers extensive learning resources, and supports both beginners and advanced developers in building their portfolios.

https://github.com/hiteshchoudhary/apihub