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Showing 2422 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Create and manage the email signature you needWith WiseStamp it’s easy to unify your brand and turn your emails into a powerful marketing tool. Get the most out of your emails with a professionally designed custom email signature.
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Resco toolkit for building mobile appsDeploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
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Yukki Music Bot
Telegram Group Calls Streaming bot with some useful features
Yukki Music Bot is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs, video and even live streams in your group calls via various sources. -
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DSC Keybus Interface
An Arduino/esp8266/esp32 library to directly interface with DSC
This library directly interfaces Arduino, esp8266, esp32, and esp32-s2 microcontrollers to DSC PowerSeries and Classic series security systems for integration with home automation, remote control as a virtual keypad, notifications on alarm events, unlocking installer codes, and emulating DSC panels to use DSC keypads as general purpose input devices. This enables existing DSC security system installations to retain the features and reliability of a hardwired system while integrating with... -
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser.... -
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Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
GWI: On-demand Consumer ResearchNeed easy access to consumer insights? Our intuitive platform is the answer. Get the ultra-reliable research that brands and agencies need to stay ahead of changing consumer behavior.
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Userge
Userge, Durable as a Serge
UserGe is a Powerful, Pluggable Telegram UserBot written in Python using Pyrogram by which you can Automate your Telegram account to work as you want. It comes with salient and descriptive features that help you to manage your task with some easy command. -
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Piano transcription
Task of transcribing piano recordings into MIDI files
Piano transcription is an open-source high-resolution piano transcription system by ByteDance that converts raw audio recordings of piano performance into symbolic MIDI files — detecting note onsets, offsets, pitch, velocity, and even pedal usage. The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool, users can transform live performance audio (or recordings) into editable, machine-readable MIDI — enabling tasks such as analysis, editing, remixing, or generation of piano music. ... -
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Guia do Cientista de Dados das Galáxias
Repository for gathering information on study materials
Guia do Cientista de Dados das Galáxias is an open-source community repository that aggregates educational resources, tools, and references related to data science, machine learning, and analytics. The project was created by the Pizza de Dados community with the goal of organizing useful materials for people interested in learning or working in the data science ecosystem. The repository collects links to books, podcasts, tutorials, datasets, communities, and study groups that can help learners navigate the field of data science more efficiently. ... -
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Meihu-FaceBeauty-Live
Beauty can be applied to live broadcasts, short videos, and selfies
Meihu beauty sdk is a mobile sdk with face recognition technology as the core, providing professional-grade real-time beauty, big eyes and face reduction, beauty filters, dynamic stickers and other filters, to create a multi-functional video beauty software The goal is to fully meet the beautification needs of customers in many audio and video software business scenarios such as live beauty and short video beauty. The open source version is now available for iOS, and the Android open source version is under development, so stay tuned! -
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an... -
Secure your business by securing your people.Take the guesswork out of password management, shadow IT, infrastructure, and secret sharing so you can keep your people safe and your business moving.
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Voice Cloning App
A Python/Pytorch app for easily synthesising human voices
...If you are using a language other than English you can add it to the app. Firstly, you'll need to find a deep speech model for your language by going to coqui. You'll then need to download the model.pbmm and alphabet.txt files for your language. Requires Windows 10 or Ubuntu 20.04+ operating system, 5GB+ Disk space, and NVIDIA GPU with at least 4GB of memory & driver version 456.38+ (optional). Automatic dataset generation (with support for subtitles and audiobooks) Additional language support. Local & remote training. Easy train start/stop. Data importing/exporting. -
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PRESENTA Lib
The javascript presentation library for the automation era
PRESENTA Lib is a config-driven presentation library that creates modern web documents for the automation era. PRESENTA Lib requires a serializable object on purpose, to facilitate interoperability, and data transformation as well as fostering novel tools to create presentational documents. PRESENTA Lib is a javascript library without external dependencies. It comes as UMD, thus, you can install it in several ways. A PRESENTA Lib document contains a list of scenes that can be displayed one at a time. Each scene contains one or more block of content. ... -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
... # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the accounts) #Dockerhub: https://hub.docker.com/r/nelsonmaligro/edokyumento # Install using the ISO: 1. Download: https://sourceforge.net/projects/e-dokyumento/files/Releases/e-DokyuV3.iso/download 2. Boot and login with: "root" and "admin@123" 3. Create 2 partitions: SWAP and / mount 4. Login and move "/opt/drive" folder to root: "mv /opt/drive /" # Install on Ubuntu: https://sourceforge.net/projects/e-dokyumento/files/Install%20e-Dokyumento%20on%20Ubuntu%20Linux.pdf/download -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. -
14
godlp
Sensitive information protection toolkit
godlp appears to be another software project from ByteDance — however, as of the most recent checks, there’s very little publicly available information about it: the repository exists under ByteDance’s GitHub, but its documentation, README, and metadata are minimal (or not human-readable), and the project seems to have limited community visibility compared to their other major tools. Because of that opacity, one must infer that godlp is likely a specialized internal or early-stage tool, possibly related to internal optimization, data processing, or platform-specific functionality (given ByteDance’s historical patterns). The minimal public footprint suggests it may be experimental, unmaintained, or only partially open-sourced, which reduces its immediate practicality for external developers. -
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MeshCNN in PyTorch
Convolutional Neural Network for 3D meshes in PyTorch
MeshCNN is a deep learning framework designed specifically for processing 3D triangular mesh data using convolutional neural networks. Unlike traditional CNNs that operate on images or voxel grids, MeshCNN performs convolution operations directly on the edges of mesh structures. This design allows the model to capture geometric relationships between mesh elements while preserving the underlying topology of 3D shapes. The framework introduces specialized layers such as edge-based convolution, mesh pooling, and mesh unpooling operations that enable hierarchical feature learning on mesh surfaces. ... -
16
GiantMIDI-Piano
Classical piano MIDI dataset
GiantMIDI-Piano is a large-scale symbolic classical piano music dataset built by applying the piano_transcription system on a vast collection of piano performance recordings. The dataset contains thousands of piano works, spanning a large number of composers and styles, with each piece transcribed into high-precision MIDI files capturing note events, pedal usage, velocities, etc. It provides a resource for music information retrieval (MIR), symbolic music modeling, composer classification, music generation, analysis of classical piano repertoire, and data-driven research in musicology or AI-based composition. Because the dataset is machine-generated via an automated transcription pipeline, it offers consistency, scale, and accessibility that would be difficult to achieve manually — enabling researchers to work with large corpora of piano music without copyright restrictions on symbolic data. -
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GANformer
Generative Adversarial Transformers
This is an implementation of the GANformer model, a novel and efficient type of transformer, explored for the task of image generation. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linearly efficiency, that can readily scale to high-resolution synthesis. The model iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of... -
18
html2canvas
A JavaScript HTML screenshot renderer
...The screenshot is based on the DOM and therefore, it may not be 100% accurate to the real representation, given that it is not an actual screenshot, but a type of screenshot built based on the available data and information of the page. The script renders such page as a canvas image, by reading the DOM and the different styles of the featured elements. It doesn't require rendering from the server, given that the image is created on the user's browser. However, as it is heavily dependent on the browser, the library is not to be used in nodejs. ... -
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Kite
Primary Kite repo, private bits replaced with XXXXXXX
...However, we do have cloud instances & VMs available for running larger jobs and for testing our cloud services. We bundle a lot of pre-computed datasets & machine learning models into the Kite app through the use of a custom filemap & encoding on top of go-bindata. The data, located in kite-go/client/datadeps, is kept in Git-LFS. -
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Deep Feature Rotation Multimodal Image
Implementation of Deep Feature Rotation for Multimodal Image
...Our approach is a representative of the many ways of augmentation for intermediate feature embedding without consuming too much computational expense. Prepare your content image and style image. I provide some in the data/content and data/style and you can try to use them easily. We provide a visual comparison between other rotation angles that do not appear in the paper. The rotation angles will produce a very diverse number of outputs. This has proven the effectiveness of our method with other methods. -
21
ML++
A library created to revitalize C++ as a machine learning front end
Machine learning is a vast and exiciting discipline, garnering attention from specialists of many fields. Unfortunately, for C++ programmers and enthusiasts, there appears to be a lack of support in the field of machine learning. To fill that void and give C++ a true foothold in the ML sphere, this library was written. The intent with this library is for it to act as a crossroad between low-level developers and machine learning engineers. ML++, like most frameworks, is dynamic, and... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. ... -
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lightning library
Large-scale linear classification, regression and ranking in Python
lightning is a library for large-scale linear classification, regression and ranking in Python. -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
...Graph4NLP consists of four different layers: 1) Data Layer, 2) Module Layer, 3) Model Layer, and 4) Application Layer. Graph4nlp aims to make it incredibly easy to use GNNs in NLP tasks (check out Graph4NLP Documentation). -
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Insert Text
Extends the media pool with an effect for outputting text in the image
...If a "text area" from the meta data has been selected as the text source, an individual setting for the effect can be applied to each image.
