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pi_livestreaming

Raspberry Pi, Camera and Node.js – Live Streaming with Websockets #IoT

pixos-pos-reactnative

Pixos is an application in the form of a website and a mobile application for product management, category and has a cashier system (point of sale)

pixyz

a library for developing deep generative models in a more concise, intuitive and extendable way

pkg

pkg-binaries

Collection of pkg nodejs binaries that are not supported by pkg

pkg-fetch

Holds the binaries used by `pkg` to generate executables

pkgtest

Using pkg to compile an express app into a standalone executable with different configs

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

place-my-order

A restaurant menu ordering application. Built with DoneJS in ES6.

places-sync

A node app that synchronizes data from multiple sources to the Places database.

plaidml

PlaidML is a framework for making deep learning work everywhere.

planarreconstruction

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

planet_opencalifornia

Series of Posts/Scripts on using data from Open California dataset by Planet

planetary-computer-hub

Configuration for https://planetarycomputer.microsoft.com/compute

planner.js

JavaScript library for route planning 🚴‍♂️🚉🚀

plant-app-flutter-ui

plant-disease

This script uses the process of fine tuning to classify leaf photographs into plant diseases. In practice, deep neural networks like Covnet has a huge number of parameters, often in the range of millions. Training a Covnet on a small dataset (one that is smaller than the number of parameters) greatly affects the Covnet’s ability to generalize, often result in overfitting. Therefore, more often in practice, one would fine-tune existing networks that are trained on a large dataset like the ImageNet (1.2M labeled images) by continue training it (i.e. running back-propagation) on the smaller dataset we have. Provided that our dataset is not drastically different in context to the original dataset (e.g. ImageNet), the pre-trained model will already have learned features that are relevant to our own classification problem. The model was trained on google colab.

plant-diseases-classifier

Artificial Intelligence app that detects diseases in plants using a deep learning model

plant_diseases

Plant disease classification using Neural Networks

plantdoctor

Image-Based Plant Disease Diagnosis with Tensorflow on Android

plantvillage_deeplearning_paper_analysis

plantvillage_deeplearning_paper_dataset

plasio.js

plateau-lod2-mvt

Convert plateau CityGML's buildings LOD2 into MVT

platform

Shopware 6 is an open source eCommerce platform realised by the ideas and the spirit of its community.

platform-1

BIMData Platform is a web application to manage your project in the BIM ecosystem

platform-design

Platform Design is the repository including the text created by D. Cuartielles for his doctoral dissertation published by Malmo University Press in 2018. This content is licensed under CC BY-SA-NC 4.0

plato-research-dialogue-system

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

play-with-docker

playground

Play with neural networks!