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100-days-of-ml-code-chinese-version

Chinese Translation for Machine Learning Infographics

agricultural-price-prediction-and-visualization-on-android-app

In Agriculture Price Monitioring , I have used data provided by open government site data.gov.in, which updates prices of market daily . Working Interface Details: We have provided user choice to see current market prices based on two choices: market wise or commodity wise use increase assesibility options. Market wise: User have to provide State,District and Market name and then select market wise button. Then user will be shown the prices of all the commodities present in the market in graphical format, so that he can analyse the rates on one scale. This feature is mostly helpful for a regular buyer to decide the choice of commodity to buy. He is also given feature to download the data in a tabular format(csv) for accurate analysis. Commodity Wise: User have to provide State,District and Commodity name and then select Commodity wise button. Then user will be shown the prices of all the markets present in the region with the commodity in graphical format, so that he can analyse the cheapest commodity rate. This feature is mostly helpful for wholesale buyers. He is also given feature to download the data in a tabular format(csv) for accurate analysis. On the first activity user is also given forecasting choice. It can be used to forecast the wholesale prices of various commodities at some later year. Regression techniques on timeseries data is used to predict future prices. Select the type of item and click link for future predictions. There are 3 java files Forecasts, DisplayGraphs, DisplayGraphs2 ..... Please change the localhost "server_name" at time of testing as the server name changes each time a new server is made. Things Used: We have used pandas , numpy , scikit learn , seaborn and matplotlib libraries for the same . The dataset is thoroughly analysed using different function available in pandas in my .iPynb file . Not just in-built functions are used but also many user made functions are made to make the working smooth . Various graphs like pointplot , heat-map , barplot , kdeplot , distplot, pairplot , stripplot , jointplot, regplot , etc are made and also deployed on the android app as well . To integrate the android app and machine learning analysis outputs , we have used Flask to host our laptop as the server . We have a separate file for the Flask as server.py . Where all the the necessary stuff of clint request and server response have been dealt with . We have used npm package ngrok for tunneling purpose and hosting . A different .iPynb file is used for the time series predictions using regression algorithms and would send the csv file of prediction along with the graph to the andoid app when given a request .

agroanalytics

Agro Analytics - Data Mining/Machine Learning Project based on Agricultural datasets. For more info, go to www.agroanalytics.info

algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

amas

Amas is recursive acronym for “Amas, monitor alert system”.

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

axiv-spyder

axiv论文爬虫 1.爬虫： 爬取axiv上的论文，包括文章标题，作者等信息，保持文章到本地 2.信息提取 从爬到的论文中提取邮箱，将提取的邮箱保存到CSV文件

cople-net

COVID-19 Pneumonia Lesion segmentation network

covid19.miscnn

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

crnn-keras

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

crnn_seq2seq_ocr_pytorch

Extremely simple implement for Chinese OCR by PyTorch.

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

cvpr2019-code

CVPR 2019 Paper with Code

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

distributed-maddpg

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

django-blog

django搭建博客

fanqiang

翻墙-科学上网

flask_movie_site

用Flask构建一个微电影视频网站

flow-shop-scheduling-based-on-reinforcement-learning-algorithm

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

fund

基金量化交易，提供历史数据展示和未来一周的预测

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

gnn

Principles of various GNN algorithms and implementation of various GNN algorithms using DGL[ GNN各种算法原理以及实现(DGL)，初学者必备]

gnn_latest_papers

The latest research papers on graph representation learning[图神经网络最新论文汇总，持续更新中，欢迎关注]

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

gurobi-python

Learning how to use gurobi with python (in chinese)

hgp-saca

image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約