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enzynet

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

equation-solver-pso

Equation solver with Particle Swarm Optimization (PSO)

estimationpy

Python package for state and parameter estimation

evolutionary-algorithm

Evolutionary Algorithm using Python

excel_analysis

Excel虽然可以非常方便地处理数据，但数据量大时速度就变慢了，本项目把Excel数据分析的常用功能：筛选、多表合并、多表汇总、多表分组，通过Python+Pandas重新实现，因为Pandas处理数据更快且能处理大的数据，此工具还可根据业务需求灵活修改少量代码实现通用。

excelrelated

读取文件夹内所有xls和xlsx格式文件，获取目标数据，生成新的xlsx文件

explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

face-detection-in-python-using-opencv

Face Detection with Python using OpenCV

face-mask-detection

Detecting face masks using Python, Keras, OpenCV on real video streams

face_recognition

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

fastapi

基于Fastapi开发，集成Celery-redis分布式任务队列、JWT 用户系统、ElasticSearch和encode orm的基础项目模板，大家可以根据自己的需求在本模板上进行修改

fft-audio-spectrum-analysis

使用python3对音频文件进行频谱处理，基于2时间抽取FFT算法，在时域将序列主次分解为两个子序列，利用选择因子WNMK的特性，由子序列的DFT来逐次合成实现整个序列的DFT。

fft-example

Jupyter notebook example using numpy.fft to visualize image spectra

financial-report-acquisition-and-data-processing-with-python

learning Python

fmpy

Simulate Functional Mockup Units (FMUs) in Python

folium

Python Data. Leaflet.js Maps.

fully-automated-red-light-violation-detection

Detecting and Tracking the violating cars using yolov3 model and various image processing techniques.

gate-simulation

geemap

A Python package for interactive mapping using Google Earth Engine, ipyleaflet, and ipywidgets

gekko

GEKKO Python for Machine Learning and Dynamic Optimization

gostnets

Convenience wrapper for networkx analysis using geospatial information, focusing on OSM

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

gudi_well_repo

Data and code for Shuler et al., 2018 Isotopes Microbes and Turbidity

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hotbirdfloodpredictionmodel

Over 2.3 Billion people are affected due to floods in last 20 years and causing countless death. More than 92 million cattle are lost every year, seven million hectares of land is affected, and damage is over trillions dollars when taken globally in last 5 years. Floods are complicated natural events. It depends on several parameters, so it is very difficult to model analytically. The floods in a catchment depends on the characteristics of the catchment, rainfall and antecedent conditions. So the estimation of the flood peak is a very complex problem. Its due to the lack of Flood Prediction System which can predict the situation accurately. To Overcome this challenge we are building a Flood Prediction System using Predictive modelling. However we have divided our idea into small fragments but enough to be used globally. We have considered most flooded state of India that is Bihar, but can be used widely for all the low lying geographical regions.

hpccloud

A Cloud/Web-Based Simulation Environment

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

intro-to-modeling-with-modelica

Code for the book Introduction to Modeling and Simulation of Technical and Physical systems with Modelica

intro_to_param_estim

Parameter estimation of ODE models describing biological processes

ipywidgets

Interactive Widgets for the Jupyter Notebook