Search Results for "face" - Page 10
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Showing 503 open source projects for "face"
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DeepStack
The World's Leading Cross Platform AI Engine for Edge Devices
DeepStack is an AI API engine that serves pre-built models and custom models on multiple edge devices locally or on your private cloud. DeepStack runs completely offline and independent of the cloud. You can also install and run DeepStack on any cloud VM with docker installed to serve as your private, state-of-the-art and real-time AI server. -
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Ecco
Explain, analyze, and visualize NLP language models
Ecco is an interpretability tool for transformers that helps visualize and analyze how language models generate text, making model behavior more transparent. -
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jeelizFaceFilter
Javascript/WebGL lightweight face tracking library
...This library is lightweight and it does not include any 3D engine or third-party library. We want to keep it framework agnostic so the outputs of the library are raw, if the face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement). We continuously add new demonstrations, so stay tuned! -
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DeepDanbooru
AI based multi-label girl image classification system
...Because the Danbooru dataset contains millions of images with extensive annotations, it provides a valuable training resource for machine learning models specializing in illustration analysis. Such datasets have been widely used for tasks including automatic image tagging, anime face detection, and generative modeling research. -
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TengineKit
TengineKit - Free, Fast, Easy, Real-Time Face Detection
Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile. TengineKit is an easy-to-integrate AI algorithm SDK. At present, it can run on various mobile phones at very low latency. We will continue to update this project for better results and better performance! -
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KoGPT
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
KoGPT is a Korean language model based on OpenAI’s GPT architecture, designed for various natural language processing (NLP) tasks such as text generation, summarization, and dialogue systems. -
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This is a tool that helps to print (from home and without using a photo booth software) photographs that conform to the biometric passport standards used worldwide.
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Photonix Photo Manager
A modern, web-based photo management server
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. This project is currently in development and not feature complete for a version 1.0 yet. If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. ... -
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libfacedetection
Library for face detection in images
This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. -
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VRN
Code for "Large Pose 3D Face Reconstruction
The VRN (Volumetric Regression Network) repository implements the “Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression” method. Instead of explicitly fitting a 3D model via landmark estimation and deformation, VRN treats the reconstruction task as volumetric segmentation: it learns a CNN to regress a 3D volume aligned to the input image, and then extracts a mesh via isosurface from that volume. -
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LineageOSkenzo
Pure lineage OS for redmi note 3(kenzo)
Made using https://github.com/lineageos4microg/docker-lineage-cicd Keep in mind that I merely followed the guide and did accordingly. I am not a ROM dev or anything. Thus, I can't fix any bugs that you may face. I will try to update the ROM, at least, once every 3 months🤞 -
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Re-face
Re-face is a helper applet tied to Lifted and Hexi projects.
In the manual improvement of hexahedral elements, faces belonging to incomplete elements are subject to loss during two format conversion steps. Re-face retrieves the lost faces, restoring the composition and integrity of the parent mesh. -
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Codes for paper "Automatically Search an Optimal Face Detector for a Specific Deployment Environment"
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A group with a goal to create the most stable Miui ROM for Poco F1 ∆ About join our TELEGRAM group https://t.me/pocostable ( Take a deep breath and read the full post , Otherwise u may face issue.) ★POCO OS comes with all poco standards with system launcher. ★Mainly focused in balance b/w stable performance and battery backup. ★Only pushing stable updates , So updates will take time... ★Check "TIPS" section for more... #MAINTAINERS VIGNESH VIJAY K- @KL_X_BOSS GOURAB DASGUPTA @gourab_dasgupt Special thanks: @gourab_dasgupta @Danish_raza @VNKTPORT @Sarveshp @imthesam -------------------------------------------------------------- The real heros who tested my build......
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jiant
jiant is an nlp toolkit
Jiant is a multitask NLP framework for fine-tuning transformer-based models on multiple natural language understanding (NLU) tasks. -
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SimCSE
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE (Simple Contrastive Learning of Sentence Embeddings) is a machine learning framework for training sentence embeddings using contrastive learning. It improves representation learning for NLP tasks. -
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layer
Web pop-up layer components to realize almost all pop-up interactions
...Your page will easily have a rich and friendly operating experience. In comparison with similar components, layer will be more accessible for developers. It is not only based on "face" to win, but tries to show more robust functions with less code as much as possible, and pays special attention to performance improvement, ease of use and practicality. The layer is even compatible with IE6. All major browsers. With a considerable number of basic attributes and methods, you can customize as many styles as you need. ... -
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Console-Game
It's a really small project that is a game you can play in console.
There you moving by a some face character or different and you have to earn some points by moving on dolar or different character. There actually nothing more. -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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kamiFaka
kamiFaka
Applicable to all kinds of e-commerce, coupons, forum invitation codes, recharge cards, activation codes, registration codes, Tencent iQiyi points CDK, etc., support manual and automatic delivery, and a tiered wholesale model similar to 1688. Stisla UI: The web interface is beautiful Front-end uses VUE3.0, millisecond-level response. Has integrated Alipay face-to-face payment, WeChat official, Payjs, Hupijiao, YunGouOS, Yipay, Mugglepay, V visa-free and other more than a dozen payment interfaces. Ordinary users support email and SMS to receive messages. Administrators support email, SMS, TG, WeChat, QQ notifications. Support 2~4 layer wholesale mode. Long card password can be exported as txt text. ... -
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Pwnagotchi
Deep Reinforcement learning instrumenting bettercap for WiFi pwning
Pwnagotchi is an A2C-based “AI” powered by bettercap and running on a Raspberry Pi Zero W that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks). This material is collected on disk as PCAP files containing any form of handshake supported by hashcat, including full and half WPA handshakes as well as PMKIDs. Instead of merely playing Super Mario... -
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revengeos-taimen
RevengeOS 4.0 for Pixel 2 XL (taimen)
This repo contains unofficial builds of RevengeOS 4.0 for pixel 2 xl. If you face any issues, feel free to message @RealOkabe on telegram -
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mevn
Light speed setup for MEVN(Mongo Express Vue Node) Apps
...As per the traditional approach, Developers are required to make their hands dirty setting up the local development environment which can be a pain, especially for beginners (as mentioned above). Also, it consumes time which can be utilized in building the actual product. We can also see this in the deployment phase where they may face trouble. All these can serve as demotivating factors for novices. It is here where MEVN-CLI comes into play. -
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hubs-research-acm-chi-2021
Supplemental code and dataset for the ACM CHI 2021 paper
...From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Virtual environments (VEs) can create collaborative and social spaces, which are increasingly important in the face of remote work and travel reduction. Recent advances, such as more open and widely available platforms, create new possibilities to observe and analyze interaction in VEs. Using a custom instrumented build of Mozilla Hubs to measure position and orientation, we conducted an academic workshop to facilitate a range of typical workshop activities. ... -
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Face recognition with mask
Face recognition with mask
戴口罩也變識得出的face recognition 將大頭照放images 下, 用人名命名 主畫面,點選encoding,將人臉特徵編碼 就可以在即時的webcam畫面看到便識結果 Face recognition that can be learned by wearing a mask Put the photo under images and name it Main screen, click encoding to encode facial features You can see the result of the recognition on the real-time webcam screen
