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abaqus_ann_constitutive_model

Computational framework to implement an artificial neural network based constitutive model in Abaqus for mesh coarsening

altschool-opensource-names

we are testing out open source contribution during our live class

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.

applied-deep-learning-with-keras

Deep Learning examples with Keras.

applied_machine_learning_with_python

This is the Repository of the book "Applied Machine Learning with Python", published in its first edition in 2019.

approaching_almost_nlp

Approaching (Almost) Any Natural Language Processing Problem

approachingalmost

Approaching (Almost) Any Machine Learning Problem

aureliengeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

automate-the-boring-stuff-with-python-solutions

Solutions for Automate the Boring Stuff with Python

automated-machine-learning-with-autokeras

Automated Machine Learning with Auto-Keras, Published by Packt

bearing_condition_state_classifier

Condition state classification for structural bearings

bookclub

Notes and links from the book club meetings

build_assessment

calculate_api

alt school nodejs assignment

chestxray

Source code for Youtube tutorial series on chest X-ray auto diagnosis

cive497-cive700

Smart Structure Technology (Winter, 2021)

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

colab

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-vision

Computer Vision Projects

concrete-properties

Calculate section properties for reinforced concrete sections.

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".

deep-learning-nanodegree-udacity-2019

This repo contains my journey taking the "Deep Learning Nanodegree" with Udacity!!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning

Practically deep learning!

deep_learning_object_detection

A paper list of object detection using deep learning.

deepcrack

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.