bahram-abediniangerabi Goto Github PK

aerial_pedestrian_detection

applied-machine-learning-in-python

applied-plotting-charting-data-representation-in-python

ashrae-kaggle-competition

ashrae-kaggle-competition-radomforest

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

cdar

This R package will help researchers and practitioners in the area of construction engineering and management to conduct construction analytics including construction time series forecasting, construction project financing, and construction schedule optimization.

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

coursera

NN and Deep

data-science-mini-project

A company provides a number of ways for its policyholders to make payments. While our service counselors can take payments over the phone, it is more cost-efficient for customers to make payments through our self-service channels such as online or through the automated phone system. Please use a predictive model to select people to receive a pre-emptive e-mail message designed to encourage them to pay online. You have been tasked with identifying which customers are likely to make a service payment call in the next 5 days. The attached file contains data on customers who have had a bill due in the next 5 days and whether they made a service payment call. Construct a model that predicts the likelihood that each policyholder will make a service payment call (CALL_FLAG=1). You may use whatever methods you see fit.

foptions

:exclamation: This is a read-only mirror of the CRAN R package repository. fOptions — Rmetrics - Pricing and Evaluating Basic Options. Homepage: http://www.rmetrics.org

hms

Data for HMS Task

incubator

junkyard

Collection of test files, probes, hacks and ideas

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

pysic

A package for satellite image classification using machine learning models

randomforest-test

satellite_imagery_analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

skeyenet

Road and Building Segmentation in Satellite Imagery

ta_web

twitteranalytics_web

unsupervised-machine-learning-dendrogram-diagram

urbanlanduse

Characterizing urban land use with machine learning

usbuildingfootprints

Computer generated building footprints for the United States

visual-chatgpt

Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

waterdetect

Water Detect Algorithm