Speed up downloads by combining multiple network connections in parallel
- bandwidth-aggregation
- cross-platform
- desktop-app
- downloader
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Speed up downloads by combining multiple network connections in parallel
Translated😍FeHelper -- Web Front-end Assistant (Awesome! Chrome & Firefox & MS-Edge Extension, All in one Toolbox!)
TranslatedShadowrocket color schemes and configurations
Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.
Bento, the office suite that fits in a file
OpenReel Video - Professional browser-based video editor. Open source CapCut alternative. 100% browser-based, no installation, no cloud uploads, no watermarks.
Kubernetes clusters for the hobbyist.
Animation effects to text, not really textview
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Safety-first disk cleaner and space analyzer for macOS, Windows and Linux, with duplicate cleanup, app uninstall, startup management, system optimization, and maintenance.
Translated🎒 Feishu × (GPT-4 + GPT-4V + DALL·E-3 + Whisper) = a work experience that flies 🚀 Voice conversations, role-playing, multi-topic discussions, image creation, spreadsheet analysis, document export 🚀
TranslatedLow-code mall platform for visually building multi-platform mall apps, including H5 and mini programs
Argon is a clean and tidy OpenWrt LuCI theme that allows users to customize their login interface with images or videos. It also supports automatic and manual switching between light and dark modes.
:octocat: Generate an image of all your Github contributions
Protocol Buffers with small code size
:tomato: Simple and visually-pleasing Pomodoro timer
Plupload is JavaScript API for building file uploaders. It supports multiple file selection, file filtering, chunked upload, client side image downsizing and when necessary can fallback to alternative runtimes, like Flash and Silverlight.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A small, lightweight, embeddable HTTP server for Mac OS X or iOS applications
One Worker, All Subscriptions
Allure Report is a flexible, lightweight multi-language test reporting tool. It provides clear graphical reports and allows everyone involved in the development process to extract the maximum of information from the everyday testing process
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Uninstall Microsoft Edge with a batch script.