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6-stock-prediction

Appliquer le Transformer sur de la prédiction de stock

academic-kickstart

blog

bookish-doodle

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crack-detection-in-concrete

In this, i have trained a model which detects whether the given image of concrete has crack or not. Dataset of 40k images(20k images of concrete with crack and 20k images of concrete without crack) was used to train and test the model. CNN architecture used is very similar to Yann LeCun. Raw JPG images data was pre-processed and augmented with the help of ImageDataGenerator class from Keras. After training model was giving around 98% accuracy.

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

cryptocurrency-price-prediction

Cryptocurrency Price Prediction Using LSTM neural network

deep-learning-and-computer-vision-for-structural-crack-detection-and-classification

Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance

hello-world

hotel-modelling

Predicting Hotel Cancellations and ADR with machine learning. Classification, regression, time series analysis.

land-analysis-by-crack-detection-using-cnn-keras-and-python

Land Analysis by Crack Detection using cnn keras and python for Farm Land

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

morphing_wing

multivariate-lstm

pyauxetic

Python plugin and library for modeling, analyzing, and post-procesing auxetic structures in Abaqus.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

road_crack_detection

Road Crack Detection using Convolution neural network. So, what I am trying to do here is build a CNN and pass the training data. And tried to predict whether an image has a crack or not by the positive and negative labels. Used the binary cross-entropy for loss function.

sma-umat

A user-defined material subroutine for polycrystalline shape memory alloys under large deformations

stock-prediction-usning-transformer-nn

Stock Prediction usning Transformer NN

tensorflow-crack-classification-garud

umat_sma_hannequart

UMAT script for Abaqus, polycrystalline shape memory alloy model