Search Results for "python-bibtex" - Page 11
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Showing 1967 open source projects for "python-bibtex"
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Nostalgic Photo DataBase (platform)
Active repository of jpeg-photos with tags suitable for personal needs
NPDB offers a comprehensive platform for creating and maintaining a database of both old, digitized images and new snapshots captured by smartphones. This versatile system allows users to organize and search through their collection using customizable tags, catering to images of any vintage. One of NPDB's key features is its flexible tagging system, which allows users to categorize their images using an arbitrary set of tags tailored to their preferences. This intuitive approach streamlines... -
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DisCam
A Simple Camera Feed Built In Python.
A Simple Rather Useful Camera Feed. Built In An Universal-Language , Python. Uses Face Detection To Completely Automate The Photo-taking Process. And Mostly Described As An Universal Cross-Platform Camera Feed Software. -
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MDAC (Media Downloader and Converter)
Batch download multiple videos and convert them into a smaller size.
Downloads videos with Yt-Dlp then converts them with ffmpeg. You can also just download videos in batch or select a folder with videos to convert. -
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Stable Diffusion Rembg
Removes backgrounds from pictures. Extension for webui
This project is an extension for the Stable Diffusion Web UI that removes backgrounds from images directly inside the interface. It wraps popular background-removal models so creators can take a generated or uploaded image and isolate the subject with a single click. The workflow is designed to be non-destructive: you can preview, tweak thresholds, and export either a transparent PNG or a masked layer for further editing. Because it runs within the Web UI, you can chain it with other... -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN... -
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CLIP-as-service
Embed images and sentences into fixed-length vectors
CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist... -
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MMEditing
MMEditing is a low-level vision toolbox based on PyTorch
MMEditing is an open-source toolbox for low-level vision. It supports various tasks. MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc. We decompose the editing framework into different components and one can easily construct a customized editor framework by combining different modules. The toolbox directly supports popular and contemporary inpainting, matting, super-resolution and generation tasks. The... -
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Rickrack (Color Palette Generator)
Generate Harmonious Colors Freely.
Rickrack is a free and user-friendly color editor. It is designed to generate a set of harmonious colors from the color wheel or other places. You can share these colors with your friends, or apply them into your creative works. What’s more, you can export them into individual files and import them into other softwares such as Adobe Photoshop, GIMP, Krita, Pencil 2D and Clip Studio Paint. -
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The TuxCap Games Framework is a GNU/Linux and Mac OSX port of the PopCap Games Framework used for 2D game development. It comes with PyCap Python bindings, a fast 2D physics engine, a particle engine, widgets and many documented examples.
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PGRColorPicker
Easy and smart classic color picker
Color picker app with support of multi type format: HTML, RGB, HSV, HSL, and CMYK format. Alpha channel support with preview and bidirectional copy/paste and drag&drop mode. Also has auto-copy feature for intesity and percent color level with/without type declaration. Multi custom profile management. -
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Mopidy
Mopidy is an extensible music server written in Python
...Through extensions, Mopidy can play music from cloud services like Spotify, SoundCloud, and TuneIn. With Mopidy's extension support, you can easily add backends for new music sources. Mopidy is a Python application that runs in a terminal or in the background on Linux computers or Macs that have network connectivity and audio output. Out of the box, Mopidy is an HTTP server. If you install the Mopidy-MPD extension, it becomes an MPD server too. Many additional frontends for controlling Mopidy are available as extensions. You and the people around you can all connect their favorite MPD or web client to the Mopidy server to search for music and manage the playlist together. -
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
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Random Colors
Generate random colors
Generate random colors click on the frame to generate a new color copy HEX code for use in a visual art and communication application -
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DALL-E 2 - Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as... -
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Asteroid
The PyTorch-based audio source separation toolkit for researchers
The PyTorch-based audio source separation toolkit for researchers. Pytorch-based audio source separation toolkit that enables fast experimentation on common datasets. It comes with a source code thats supports a large range of datasets and architectures, and a set of recipes to reproduce some important papers. Building blocks are thought and designed to be seamlessly plugged together. Filterbanks, encoders, maskers, decoders and losses are all common building blocks that can be combined in a... -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
OpenMMLab's next generation video understanding toolbox and benchmark. MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding... -
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MahaKurawa.My.ID MP4 VA Extract
MahaKurawa.My.ID MP4 VA Extract is a tool to extract mp4 file content
MahaKurawa.My.ID MP4 VA Extract is a tool to extract MP4 file video and audio content. It also have ability to extract MKV file and single SSA Subtitle file. This software will not convert any video and audio file from MP4 file. This software just extract them as it is. This tool is made for that specific purpose. This tool "MahaKurawa.My.ID MP4 VA Extract v.1.0.3.1" can be obtained for free on https://www.mahakurawa.my.id. -
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Stable Diffusion in Docker
Run the Stable Diffusion releases in a Docker container
Run the Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. Run the Stable Diffusion releases on Huggingface in a GPU-accelerated Docker container. By default, the pipeline uses the full model and weights which requires a CUDA capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image. On less powerful GPUs you may need to modify some of the options; see the Examples section for more details. If you lack a... -
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Impressive is a program that displays PDF presentation slides with style. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are very useful for presentations.
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Roop
One-click face swap
Take a video and replace the face with a face of your choice. You only need one image of the desired face. No dataset, and no training. -
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PicResize
A simple pic resizer
A simple pic resizer working with drag and drop. Drag and drop an image file on a shortcut to the program, input width or height, confirm, find your resized image in the same folder with new dimensions in the file name. -
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Text to Waveform
Create synth presets from words
Convert words to waveforms you can load into a synthesizer oscillator to create synth presets. Have fun turning your name, your friends' names, your city name, your pet's name, your team's name into synth presets you can use to produce a track. -
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MMClassification
OpenMMLab Image Classification Toolbox and Benchmark
...We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new classifiers. MMClassification mainly uses python files as configs. The design of our configuration file system integrates modularity and inheritance, facilitating users to conduct various experiments. -
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AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
Blender add-on to dramatically reduce render times using the Real-ESRGAN upscaler. Rendering an HD image in Blender takes 37 minutes. Upscaling can render a similar quality image in 5 mins total. Any PC or laptop can now do 3D rendering. 4k images can be rendered in the time it would take to render HD 1080p images. HD 1080p images can be rendered in record time on low-end hardware. Installation is easy. Just install the addon. No special hardware or GPU is required. Upscaling is done...
