dio-plutus Goto Github PK

face-recognition-1

Face Detection and Verification for Images & Real-Time Video

face-recognition-2

This project is all about Face Recognition of specific people. It can categorise different people and can segregate them. I have used LBPH Algorithm to train the Model, which takes 50,000 images for training, which then results in proper identification of exact faces when presented with sample images.

face-recognition-system

This repository contains the python notebook for a simple image recognition system of two famous Football players, Lionel Messi and Cristiano Ronaldo.

face_recognition

Made a simple face recognition model using face_recognition api of dlib also contains code to convert images into HOG images for detection

facial-recognition-system-using-lbph

financial

Present values, future values, risk, return, portfolio optimization etc.

flask

Flask is a web-frame work for developing web applications in Python.This Repository contained all the materials related to web applications.

formatting-json

foss4g2022_grass4rs

Notebook for the GRASS GIS for remote sensing data processing and analysis workshop at FOSS4G 2022 in Florence

fuel_datatest

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geog2021

Geog 2021 Environmental Remote Sensing

geostatisticslessonsnotebooks

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

geostatspy_intro_course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

hybrid_regression_tree

Hybrid of Regression Trees & Linear Regression

image-dataset-generator

Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.

image-recognition-and-information-extraction-from-image-documents

Image Recognition and Information Extraction from Image Documents using Keras and Watson NLU

imageclassification_djangoapp

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test

machine-learning

machine-learning-collection

:closed_book:machine learning tech collections at Microsoft and subsidiaries.

machine-learning-deep-learning

This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics

machine-learning-deployment

Launch machine learning models into production using flask, docker etc.

machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

material_balance_primer

Primer for material balance study. Based on Dake's textbook flow and examples

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

msr-3dcnn

This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And the paper has been accpeted by remote sensing.

nanonets-car-damage-classification

A simple classifier to find if a car in an image is damaged or not

news-classification-and-sentiment-analysis

A machine learning application which uses web scraping and crawling to download the news articles along with the heading and author from the web. The downloaded articles are auto-summarized according to the choice of the user using an algorithm. The downloaded articles are classified into different domains like- sports, opinion, business etc using multi-label classifier. The downloaded articles undergo opinion mining where the sentiment (positive, negative or neutral) of the news article is determined.