Framework that uses artificial intelligence applied to mathematical models to make predictions

Related tags

Deep LearningLiconIA
Overview

LiconIA

Framework that uses artificial intelligence applied to mathematical models to make predictions

GitHub Release GitHub license


Interface Overview

image

Table of contents

[TOC]


1 Articles, theses for technical support

1.1 Final Coursework



1.2 Dissertation



1.3 Theses


loading...


1.4 Articles



2 Requirements


  • Python 3.6 or superior (sudo apt-get install python3.6 under Linux)
  • Python virtual environment (sudo apt-get install python3.6-venv under Linux)

3 Package structure (need to update)


The initial directory structure should look like this:


4 Development and Tests

4.1 Installing the package


Start by creating a new virtual environment for your project. Next, update the packages pip and setuptools to the latest version. Then install the package itself.

$ sudo apt-get install python3-tk
$ /usr/bin/python3.6 -m venv --prompt="LiconIA" venv
$ source venv/bin/activate
(LiconIA) $ pip install --upgrade setuptools pip
(LiconIA) $ pip install numpy matplotlib pandas xlrd PyQt5
(LiconIA) $ pip install xlrd==1.2.0

4.2 Run program


To run the code just type:

$ python run.py

4.3 Qt-desing Information


Information about running the interface in qt-desing https://pythonbasics.org/qt-designer-python/

How to start Designer

$ cd /usr/lib/x86_64-linux-gnu/qt5/bin/ && ./designer
$ ./designer

Information about widgets the interface in qt-desing https://doc.qt.io/qtforpython/PySide2/QtWidgets/

Convert ui to py

pyuic5 /home/linux/helloworld.ui -o helloworld.py

4.4 Code checking


It is also possible to check for errors in Python code using:

use a pep8 -> pycodestyle


4.5 Development Team



5 License


This package is released and distributed under the license GNU GPL Version 3, 29 June 2007.

Pixel-level Crack Detection From Images Of Levee Systems : A Comparative Study

PIXEL-LEVEL CRACK DETECTION FROM IMAGES OF LEVEE SYSTEMS : A COMPARATIVE STUDY G

Manisha Panta 2 Jul 23, 2022
Python with OpenCV - MediaPip Framework Hand Detection

Python HandDetection Python with OpenCV - MediaPip Framework Hand Detection Explore the docs » Contact Me About The Project It is a Computer vision pa

2 Jan 07, 2022
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Monk - A computer vision toolkit for everyone Why use Monk Issue: Want to begin learning computer vision Solution: Start with Monk's hands-on study ro

Tessellate Imaging 507 Dec 04, 2022
Official implementation of Self-supervised Graph Attention Networks (SuperGAT), ICLR 2021.

SuperGAT Official implementation of Self-supervised Graph Attention Networks (SuperGAT). This model is presented at How to Find Your Friendly Neighbor

Dongkwan Kim 127 Dec 28, 2022
Computational inteligence project on faces in the wild dataset

Table of Contents The general idea How these scripts work? Loading data Needed modules and global variables Parsing the arrays in dataset Extracting a

tooraj taraz 4 Oct 21, 2022
Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

THU模式识别2021春 -- Jittor 医学图像分割 模型列表 本仓库收录了课程作业中同学们采用jittor框架实现的如下模型: UNet SegNet DeepLab V2 DANet EANet HarDNet及其改动HarDNet_alter PSPNet OCNet OCRNet DL

48 Dec 26, 2022
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

Paddle-Adversarial-Toolbox Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle. Model Zoo Common FGS

AgentMaker 17 Nov 08, 2022
Use AI to generate a optimized stock portfolio

Use AI, Modern Portfolio Theory, and Monte Carlo simulation's to generate a optimized stock portfolio that minimizes risk while maximizing returns. Ho

Greg James 30 Dec 22, 2022
Source code of article "Towards Toxic and Narcotic Medication Detection with Rotated Object Detector"

Towards Toxic and Narcotic Medication Detection with Rotated Object Detector Introduction This is the source code of article: Towards Toxic and Narcot

Woody. Wang 3 Oct 29, 2022
The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"

MultiModal-Collaborative (MMC) Learning Framework for integrating RGB and Thermal spectral modalities This is the official code for NeurIPS 2021 Machi

NeurAI 12 Nov 02, 2022
Python Algorithm Interview Book Review

파이썬 알고리즘 인터뷰 책 리뷰 리뷰 IT 대기업에 들어가고 싶은 목표가 있다. 내가 꿈꿔온 회사에서 일하는 사람들의 모습을 보면 멋있다고 생각이 들고 나의 목표에 대한 열망이 강해지는 것 같다. 미래의 핵심 사업 중 하나인 SW 부분을 이끌고 발전시키는 우리나라의 I

SharkBSJ 1 Dec 14, 2021
Code for the ICML 2021 paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

ViLT Code for the paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision" Install pip install -r requirements.txt pip

Wonjae Kim 922 Jan 01, 2023
Activity tragle - Google is tracking everything, we just look at it

activity_tragle Google is tracking everything, we just look at it here. You need

BERNARD Guillaume 1 Feb 15, 2022
How to Become More Salient? Surfacing Representation Biases of the Saliency Prediction Model

How to Become More Salient? Surfacing Representation Biases of the Saliency Prediction Model

Bogdan Kulynych 49 Nov 05, 2022
StorSeismic: An approach to pre-train a neural network to store seismic data features

StorSeismic: An approach to pre-train a neural network to store seismic data features This repository contains codes and resources to reproduce experi

Seismic Wave Analysis Group 11 Dec 05, 2022
The Codebase for Causal Distillation for Language Models.

Causal Distillation for Language Models Zhengxuan Wu*,Atticus Geiger*, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D.

Zen 20 Dec 31, 2022
Neural Point-Based Graphics

Neural Point-Based Graphics Project   Video   Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3

Ali Aliev 252 Dec 13, 2022
Easy to use and customizable SOTA Semantic Segmentation models with abundant datasets in PyTorch

Semantic Segmentation Easy to use and customizable SOTA Semantic Segmentation models with abundant datasets in PyTorch Features Applicable to followin

sithu3 530 Jan 05, 2023
Collaborative forensic timeline analysis

Timesketch Table of Contents About Timesketch Getting started Community Contributing About Timesketch Timesketch is an open-source tool for collaborat

Google 2.1k Dec 28, 2022
Ivy is a templated deep learning framework which maximizes the portability of deep learning codebases.

Ivy is a templated deep learning framework which maximizes the portability of deep learning codebases. Ivy wraps the functional APIs of existing frameworks. Framework-agnostic functions, libraries an

Ivy 8.2k Jan 02, 2023