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Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
Experimental Exploratory Data Analysis for a Classification Task
Expand the traditional EDA in a wider pipeline looking for the impact of each action into the behaviour of models. Exploratory Data & Models Analysis
exploratory-data-analysis classification machine-learning logistic-regression
NumPy Fundamentals for Data Science and Machine Learning
In-depth interactive tutorial of NumPy fundamentals for data science & machine learning. From the ndarray object to applied linear algebra. Project is 70% ...
numpy python article code
MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.
recurrent-neural-networks lstm keras tensorflow
A 2020 guide to Semantic Segmentation
Concept of image segmentation, discuss the relevant use-cases, different neural network architectures involved in achieving the results, metrics and ...
semantic-segmentation computer-vision segmentation article
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