Search Results for "ofn3-export-layers" - Page 13
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Showing 505 open source projects for "ofn3-export-layers"
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NLP-progress
Repository to track the progress in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. This document aims to track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets. It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such... -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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textgenrnn
Easily train your own text-generating neural network
...A modern neural network architecture that utilizes new techniques as attention-weighting and skip-embedding to accelerate training and improve model quality. Train on and generate text at either the character-level or word-level. Configure RNN size, the number of RNN layers, and whether to use bidirectional RNNs. Train on any generic input text file, including large files. Train models on a GPU and then use them to generate text with a CPU. Utilize a powerful CuDNN implementation of RNNs when trained on the GPU, which massively speeds up training time as opposed to typical LSTM implementations. Train the model using contextual labels, allowing it to learn faster and produce better results in some cases. -
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v2rayL
v2ray linux GUI
V2Ray is a tool under Project V. Project V includes a series of tools to help you create your own customized network system. And V2Ray belongs to the core one. Simply put, V2Ray is a proxy software similar to Shadowsocks, but has more advantages than Shadowsocks.v2ray linux client, using pyqt5 to write GUI interface, the core is based on v2ray-core (v2ray-linux-64) vmess supports websocket, mKcp, and tcp. There may be some bugs in the current program, but they have not been tested. If you... -
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powerfactory-fmu
The FMI++ PowerFactory FMU Export Utility
This project has been moved to: https://github.com/fmipp/powerfactory-fmu The FMI++ PowerFactory FMU Export Utility is a stand-alone tool for exporting FMUs for Co-Simulation (FMI Version 1.0 & 2.0) from DIgSILENT PowerFactory models. It is open-source (BSD-like license) and freely available. It is based on code from the FMI++ library and the Boost C++ libraries. The FMI++ PowerFactory FMU Export Utility provides a graphical user interface (new in version v1.0) and - alternatively - Python scripts that generate FMUs from certain PowerFactory models. ... -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
...The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference. -
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TestRest
TestRest is a fully QA Management Tool
TestRest is Test Management offers test case authoring, reusable test cases, test execution and reporting. TestRest supports statistic and graph reports with simple modern UI interfaces. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
...Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings. -
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remindMe
A sticky notes alternative with user customizations, popups, more...
remindME is a simple and free alternative to sticky notes that can store multiple notes on a single window or can be detached to separate notes popup. It also supports a lot of user customizations like background color, font color, font family, style, size. It also supports features of stay-on-top and export options. -
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PyPWD
A Python3 Password Manager, with encryption and without connection
https://www.garanet.net/it-blog/python-password-manager/ A Python3 Password Manager, with encryption and without an Internet connection. How it Works: First Run: PyPWD > Creates Master Key with your master username and password (Do not forget it or modify the config file, otherwise you'll be not able to open your password manager anymore). PyPWD > Saves a DataFrame as an encrypted CVS and all passwords are encrypted too, with key and the master password. Login: PyPWD >... -
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maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation
...Originally built to benchmark Mask R-CNN and related models, it offers a clean, modular design to train and evaluate detection systems efficiently on standard datasets like COCO. The framework integrates critical components—region proposal networks (RPNs), RoIAlign layers, mask heads, and backbone architectures such as ResNet and FPN—optimized for both accuracy and speed. It supports multi-GPU distributed training, mixed precision, and custom data loaders for new datasets. Built as a reference implementation, it became a foundation for the next-generation Detectron2, yet remains widely used for research needing a stable, reproducible environment. ... -
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FID score for PyTorch
Compute FID scores with PyTorch
This is a port of the official implementation of Fréchet Inception Distance to PyTorch. FID is a measure of similarity between two datasets of images. It was shown to correlate well with human judgement of visual quality and is most often used to evaluate the quality of samples of Generative Adversarial Networks. FID is calculated by computing the Fréchet distance between two Gaussians fitted to feature representations of the Inception network. The weights and the model are exactly the same... -
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Imogen
GPU Texture Generator
Imogen is a real-time, node-based procedural texture generation tool aimed at artists, developers, and shader enthusiasts. It allows users to build complex material textures using a graph-based interface, combining operations like blending, noise, filters, and color correction in a non-destructive workflow. Built with Vulkan and ImGui, Imogen provides immediate visual feedback and supports GPU acceleration for high-resolution texture output. It's particularly useful in game development, VFX,... -
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JSON2YOLO
Convert JSON annotations into YOLO format.
Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro. This directory contains label import/export software developed by Ultralytics LLC, and is freely available for redistribution under the GPL-3.0 license. Ultralytics is a U.S.-based particle physics and AI startup with over 6 years of expertise supporting government, academic, and business clients. We offer a wide range of vision AI services, spanning from simple expert advice up to the delivery of fully customized, end-to-end production solutions. -
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Canorus
Music score editor
Canorus is a free cross-platform music score editor. It supports an unlimited number and length of staffs, polyphony, a MIDI playback of notes, chord markings, lyrics, import/export filters to formats like MIDI, MusicXML, ABC Music, MusiXTeX and LilyPond -
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PYWAL
Generate and change color-schemes on the fly
...It analyzes the input image, extracts a palette, and builds theme files for terminals, window managers, and various desktop applications so everything looks coordinated. The magic is that it’s not just a one-off script: it supports many terminals, shells, and launchers, and can export the colors in multiple formats (JSON, Xresources, CSS) for other programs to consume. It also includes a set of predefined themes if you don’t want to generate from an image. Many users integrate PYWAL into their login or wallpaper-change workflows so the desktop “breathes” with whatever image they set. It’s lightweight, fast, and fits perfectly into the r/unixporn workflow of building cohesive, themed desktops. -
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GeoNotebook
A Jupyter notebook extension for geospatial visualization and analysis
GeoNotebook is an open-source extension to the Jupyter Notebook ecosystem that equips users with powerful geospatial visualization and analysis capabilities directly within the notebook interface. It integrates with GeoJS and other geospatial services to enable rich, interactive map rendering, layer control, and GIS data manipulation alongside traditional code and markdown cells in a Jupyter environment. Users can execute Python geospatial analysis and immediately visualize results on slippy... -
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
...Tensorpack squeezes the most performance out of pure Python with various auto parallelization strategies. There are too many symbolic function wrappers already. Tensorpack includes only a few common layers. You can use any TF symbolic functions inside Tensorpack. -
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MyNotes
Sticky notes/post-it application for linux
MyNotes is a sticky notes/post-it application. Notes are created using the system tray icon. They can be organized in categories and each category has a color. Images, checkboxes and a few predefined symbols can be inserted in the notes. The style of the text can be changed (alignment, style, color). -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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iTunesExport
iTunesExport is written as a helper tool to export iTunes Playlists to
...For use you have to select the desired playlists and then select a target folder, which can be any USB Mass Storage device or a directory at your hard disk. A click on the "Settings" button open a panel where you can customize the handling of the files. A click on the process button starts the export. You can also export the files into a folder and burn the folder to a optical media from withhin the application. Supported file types mp3, m4a. Protected AAC files (m4p) are not supported and are skipped. If you want to use those file, convert them into mp3 -
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Sudoku-Tk
Sudoku games and puzzle solver
Play and solve sudoku puzzles. Start from an empty grid, generate a puzzle or load one. The game is timed. The generated puzzles have a unique solution. Mistakes (twice the same number on the line / column / row) are highlighted in red. -
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Spatial Media
Specifications and tools for 360º video and spatial audio
...Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is present. By separating metadata handling from encoding, the tools slot into existing editing/export workflows without requiring specialized NLE support. They help ensure assets play back with the right projection, field of view, and head-tracked audio in compliant players. For archive and validation use cases, the scripts can also read existing flags to diagnose why a video isn’t being recognized as immersive. -
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Nelder Plot Designer
A Computer-aided Tool for Nelder Plot Design
Nelder plot (Nelder 1962) is an experimental design for testing a multiple tree spacings in a single plot. The shape of plot is circular with some number of concentric wheels or arcs radiating outward and the spokes connecting the center. The intersections of spokes and arcs are the tree positions. The tree position on different wheels represent a different the tree spacing distance or tree density. This design eliminates the need for separate experimental plots for each tree density. The...
