Search Results for "cv"
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Showing 104 open source projects for "cv"
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CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library
CV-CUDA is an open-source project that enables building efficient cloud-scale Artificial Intelligence (AI) imaging and computer vision (CV) applications. It uses graphics processing unit (GPU) acceleration to help developers build highly efficient pre- and post-processing pipelines. CV-CUDA originated as a collaborative effort between NVIDIA and ByteDance. -
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Manfred Awesomic CV
Manfred Awesomic CV
The MAC (or Manfred Awesomic CV) is a(nother) naive attempt to create a standard open-source format to define and share CVs. The format is defined as a JSON Schema to validate CVs stored as JSON files. There are A LOT of CV formats, and some of them are a nice try to define a universal CV format, but we think that a CV should include not only what candidates are or know but also what they are interested in and what they want to become. Like most open-source projects, the first use case... -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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emgucv
Cross platform .Net wrapper to the OpenCV image processing library
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, it can run on Windows, Linux, Mac OS, iOS and Android. -
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DISTRHO Cardinal
Virtual modular synthesizer plugin
A fully free and self-contained modular synthesizer, based on the popular VCV Rack. Available in AudioUnit/CLAP/LV2/VST2/VST3 plugin formats and as a standalone app for FreeBSD, Linux, macOS, Windows and the Web. -
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RenderCV
LaTeX CV generator from a YAML/JSON input file
RenderCV is a LaTeX CV/resume framework. It allows you to create a high-quality CV as a PDF from a YAML file with full Markdown syntax support and complete control over the LaTeX code. RenderCV offers built-in LaTeX and Markdown templates ready to produce high-quality CVs. However, the templates are entirely arbitrary and can easily be updated to leverage RenderCV's capabilities with your custom CV themes. -
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academicpages.github.io
Github Pages template based upon HTML and Markdown for personal
AcademicPages is a ready-made Jekyll theme for academics to build personal websites, blogs, and CV pages. It includes features like publication lists, project showcases, writing blogs, and optimized layouts for easier GitHub Pages deployment. With support for LaTeX rendering, RSS feeds, and responsive design, it's popular among students, researchers, and educators looking to create professional web presences without coding from scratch. -
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Data-Juicer
Data processing for and with foundation models
Data-Juicer is an open-source data processing and augmentation framework designed to enhance the quality and diversity of datasets for machine learning tasks. It includes a modular pipeline for scalable data transformation. -
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ModelScope
Bring the notion of Model-as-a-Service to life
... unified experience to explore state-of-the-art models spanning across domains such as CV, NLP, Speech, Multi-Modality, and Scientific-computation. Model contributors of different areas can integrate models into the ModelScope ecosystem through the layered APIs, allowing easy and unified access to their models. Once integrated, model inference, fine-tuning, and evaluations can be done with only a few lines of code. -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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DeepSparse
Sparsity-aware deep learning inference runtime for CPUs
A sparsity-aware enterprise inferencing system for AI models on CPUs. Maximize your CPU infrastructure with DeepSparse to run performant computer vision (CV), natural language processing (NLP), and large language models (LLMs). -
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Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative... -
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GoCV
Go package for computer vision using OpenCV 4 and beyond
GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. CV software... -
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A website template for academics
Jekyll website template for personal academic or research group page
This is a statically-generated Jekyll/Liquid/Bootstrap-based website template for academics. I started with the Allan lab webpage and modified it into a personal academic webpage that met my requirements. I worked in a unique set of the features that I desired and could not find in publicly available templates elsewhere. -
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Universal Résumé Template
Minimal and formal résumé (CV) website template for print and mobile
Minimal and formal résumé (CV) website template for print, mobile, and desktop. The proportions are the same on the screen and paper. Built with amazing Tailwind CSS. I couldn’t find any formal or professional résumé (CV) website with good typography that is optimized for the Web, print, PDF, and mobile. Also, researching what recruiters want, my priorities were fast scanning time and all content to fit on one page. Replace every -letter with -a4, and uncomment specified code blocks. Tailwind... -
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CVSim
Cyclic Voltammetry Simulation Program for Research and Education
This a cyclic voltammetry (CV) program created for teaching CV undergraduate chemistry students. For research, download the version from https://sourceforge.net/projects/cvsimplus/ . CVSim uses the implicit method to simulate diffusion. Development of new methods for more accurate simulation of the diffusion is under way. For more details and discussion contact me at akeramid@ucy.ac.cy. -
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CVSimPlus
Cyclic Voltammetry Simulation Program for Research
This a cyclic voltammetry (CV) program created for teaching CV undergraduate chemistry students and research. It can be downloaded and from https://sites.google.com/site/keramidasscientificsoftware/cvsim. CVSim uses either implicit or RK4 methods to simulate diffusion. Development of new methods to accurate simulate the diffusion is under way. A lot of time has been invested and will be on making the simulation of CV as more accurate as possible. The results at the moment for CV... -
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Memu
8080/Z80 emulator, 8086 emulator, arcade emulator, CP/M emulator
Memu is a multiple machine emulator. Emulation of Intel 8080 CPU is done. Emulation of Intel 8086 CPU is done. Emulation of Zilog Z80 CPU is done. Some arcade machines which based on 8080 CPU are emulated. CP/M 1.3, 1.4, 2.0 runnable. Altair BASIC 3.0 runnable. PC emulation is under construction. -
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LSTM-Fencing-est.-Symposium-2023
Lars' MatLab Code for making an LSTM/CV System for Fencing Priority. Work is as recent as the Baylor Symposium 2023
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... programming Firstly the card is reproducibly mechanically located under the camera. It is imaged, then cropped - once for the suit and once for the value. Using Open CV these images are manipulated and the contours are analysed. These are then compared with reference contours (a set of scripts to produce these images are provided) Contours are an ideal way to do this as small rotations have little effect. The identified card is then located in a particular hand through some basic Python...
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Resume Builder
this app generates your CV as PDF or DOCX file
github.com/sametcn99/ResumeBuilder Resume Builder this app generates your CV as PDF or DOCX file Features Save multiple Resumes for one person and edit anytime. Save your resume using multiple layouts Automatically saving Import and Export your all created resumes Print as Pdf or MS Word(docx) file You can add; Name, Address, Phone Number, Email, Website, Social Media Links, Summary, Job informations, Education informations, Skills, Languages, Certifications and Photo to your resume... -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,... -
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CVAssistant
Smart Resume Creator and Job Application Organizer
CV Assistant helps you create specialized resumes in Word .docx format fast and easy. The idea is to have a master resume with all skills and experiences in it. Then based on skills mentioned in the job advertisement, export a clean but well formatted word .docx file as a summarized resume with only relevant skills in it. This increases your chance of getting a job interview as most companies are using Applicant Tracking Software (ATS) or at best hiring managers which may be unaware... -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the models... -
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Cloud Annotations
A fast, easy and collaborative open source image annotation tool
Learn computer vision & AI by building real-world applications. Learn to build and train computer vision models—then show off your skills in an interactive web application. Build impressive applications and learn coveted skills. The examples below were created by the Skills Network Team—right here in CV Studio. Create your own project dataset by uploading images and videos. Coming soon, you'll be able to use a pre-compiled dataset so you can hit the ground running. Creating image annotations...
