Pann Vandet (pann-vandet)

pann-vandet

Geek Repo

Location:South Korea

Home Page:https://pann-vandet.github.io/

Twitter:@DetCoding23

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Pann Vandet's repositories

Adroid_Projects

This repo contains android projects

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ChatApp

This is android chat application.

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random-user-vue

This project descripts about how to generate random user from api using vue.js

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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GilSam-Homepage

This project is used to display the historical place in Jeonju city.

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course-api-data

This project is describing how to create spring boot api.

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darknet

Convolutional Neural Networks

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django_project

This project is first Django project.

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face_recognition

The world's simplest facial recognition api for Python and the command line

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FaceNet-Implementation

The project is a simple and easy to go implementation of the facenet model created by google the task of which being able to differentiate and identify faces.

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flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond.

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Flutter-Course-Resources

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

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Fruit_Recognition

Computer Vision and Image Processing: Fruit Classifier (Support Vector Machine vs KNN) using thresholding and Intensity Rescaling

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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insightface

Face Analysis Project on MXNet

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Keras_insightface

Insightface Keras implementation

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MaskTheFace

Convert face dataset to masked dataset

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opencv

Open Source Computer Vision Library

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openface

Face recognition with deep neural networks.

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Pytorch-LRP

Basic LRP implementation in PyTorch

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Real-World-Masked-Face-Dataset

Real-World Masked Face Dataset,口罩人脸数据集

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vandet-miso

This is my 1 year anniversary.

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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