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nscscc2019ucas

onlinejudge

open source online judge based on Vue, Django and Docker. | 青岛大学开源 Online Judge | QQ群 496710125 | [email protected]

open-src-cvc

Mirror of tachyon-da cvc Verilog simulator

opencircuits

A free, open source, online digital circuit/logic designer.

openroad

OpenROAD's unified application implementing an RTL-to-GDS Flow

orangepi-build

Orange Pi build for H2+, H3, H5, H6, H616, RK3328, RK3399 and RK3588(s)

particle-engine

A simple efficient configurable particle engine written in JavaScript using HTML5 canvas 2D which works on desktop and mobile by Jason Mayes

pbft

Implementation of PBFT in node.js

pingos

Based on the NGINX/RTMP/HTTP-FLV/HTTP-TS/HLS/HLS+/DASH/H.264/H.265/AAC/MP3/Live/Record/VOD/Push/Pull/Multiple Processes/Dynamic Configuration/Configuration Variables/Console Interface/Notify

poly-commit

A Rust library for polynomial commitments

polynomial

Fast Polynomial Evaluation

polynomial-evaluation

pos-blockchain

public-apis

A collective list of free APIs

pydevp2p

Python Implementation of the Ethereum P2P stack

pydigitalwavetools

python library for operations with VCD and other digital wave files

pynode

Bitcoin P2P router, in python

pyp2p

python-random-quote

A file-based quote bot written in Python

python_blockchain_app

A fully functional blockchain application implemented in Python from scratch (with tutorial).

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

qt_teach

rabbitvcs

The new home of rabbitvcs

real-time-object-detection-using-tensorflow.js

Real time Object detection through web-camera (PC, Phone, Tablets) using Tensorflow.js, Coco-ssd and React.

real-time-person-removal

Removing people from complex backgrounds in real time using TensorFlow.js in the web browser

realtime-chat-app-with-rooms

realtime-simple-chat-app

rectangle

Move and resize windows on macOS with keyboard shortcuts and snap areas

retraining-tensorflow-classifier-using-video

Script to convert all MP4 videos in a zip archive to JPG frames at a desired FPS with unique names. It will then retrain the top layers of a binary image classifier using TensorFlow using these extracted images.

roaddamagedetection-deeplearning

It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and Convolutional Neural Networks (CNN), one of the most popular types of deep neural networks, are used. The TensorFlow library is trained through the Ssd Inception V2 Coco pre-trained model to detect damage to images. As a result of the tests and trainings, the closest determinations are 86%. In order to increase the accuracy of the training, the use of GPU, the magnification of the data set and the number of iterations were considered.