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NLP Model Selection
NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution.
transfer-learning natural-language-processing neural-networks transformers
Neural Networks for NLP (CMU CS 11-747)
This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to ...
natural-language-processing course carnegie-mellon neural-networks
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
Normalization Techniques for Training Very Deep Neural Networks
How can we efficiently train very deep neural network architectures? What are the best in-layer normalization options? Read on and find out.
normalization batch-normalization layer-normalization group-normalization
Introduction to Neural Network Models of Cognition - Online Book
On-line interactive book introducing the history, theory, and math of Neural Network Models with Python, from a Cog Science perspective.
neural-networks convolutional-neural-networks recurrent-neural-networks deep-learning
SimpleGAN
A Tensorflow-based framework to ease the training of generative models
computer-vision generative-adversarial-networks tensorflow deep-learning
Otto
Otto makes machine learning an intuitive, natural language experience.
automl assistant code neural-networks
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
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
Programming Probabilistically
A book on data science and machine learning with a foundation in applied statistics leading into deep learning.
machine-learning neural-networks linear-regression linear-discriminant-analysis
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