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Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Deep Learning with Electronic Health Record (EHR) Systems
A comprehensive look at recent machine learning advancements in health.
health deep-learning ehr tutorial
Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision
C++ Implementation of PyTorch Tutorials for Everyone
This repository provides tutorial code in C++ to learn PyTorch by building CNNs, RNNs, etc. Tutorials are divided into three sections based on complexity.
pytorch c++ torch torchscript
SOLT: Data Augmentation for Deep Learning
Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.
data-augmentation image-segmentation deep-learning pytorch
A Few Favorite Recipes in Computer Vision & Deep Learning
This blog post enlists a few of my favorite recipes in deep learning in the context of computer vision (as of August 2020).
self-supervised-learning simclr contrastive-learning representation-learning
Training CNN with Mixed Precision in PyTorch 1.6
Simple Example on MNIST dataset illustrating Mixed Precision Training.
deep-learning pytorch code tutorial
Deep Learning's Most Important Ideas - A Brief Historical Review
Review well-adopted deep learning ideas that have stood the test of time.
deep-learning history article
Understanding the Effectivity of Ensembles in Deep Learning
The report explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.
computer-vision deep-learning neural-networks ensembles
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