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Meta Pseudo Labels
We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?
semi-supervised-learning meta-learning machine-learning deep-learning
Why Batch Norm Causes Exploding Gradients
Our beloved Batch Norm can actually cause exploding gradients, at least at initialization time.
batch-normalization exploding-gradients weights-initialization deep-learning
Flax: Google’s Open Source Approach To Flexibility In ML
A gentle introduction to Flax: a neural network library for JAX that is designed for flexibility.
flax jax deep-learning library
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
Neural Encryption Networks
I used a multiple autoencoders to effectively encode and encrypt text data. These provide encryption for user defined bits. As proof of concept 8 and 9 ...
deep-learning neural-cryptography machine-learning cyber-security
Clustered Graph Convolutional Networks
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
graph-embedding graph-convolution node-embedding node-classification
Deep Learning with Electronic Health Record (EHR) Systems
A comprehensive look at recent machine learning advancements in health.
health deep-learning ehr tutorial
Made With ML Top Resources
A tagged and curated collection of trending tutorials, toolkits and research.
newsletter natural-language-processing computer-vision deep-learning
What's new in semi-supervised learning? This paper, SimCLR, presents a new framework for contrastive learning of visual representations.
simclr semi-supervised-learning deep-learning machine-learning
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