Discover omar-florez/VQA-ModuleNetworks Open Source project

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Created over 4 years ago
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omar-florez

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Question Answering capabilities of Module Networks. Language guides the generation of neural architectures that maximizes the likelihood of answering a question correctly when correlated with visual embeddings.

scratch_mlp

Explaining the Math of how neural networks learn

Jupyter Notebook

338

learning_emotions_with_emojis

Predict human emotions in tweets by mapping emojis into the Valence-Arousal space (Russell, 2005). LSTM models the sequence learning of words within the tweets.

Python

memory-augmented-neural-network

Given an annotated utterance (x, y), we encode x with an encoder (LSTM, Transformer) and cache similar latent representations generated during training into an external memory. Storage and retrieval operations are differentiable using attention over memory entries and extend encoder's capacity.

Python

reinforcement_learning

Jupyter Notebook

thesis-manuscript

Thesis manuscript for Master Degree in Waseda University

TeX

Unbiased-Autoencoder-for-Face-Recognition

Python

intro_deeplearning

Predict human emotions in tweets by mapping emojis into the Valence-Arousal space and using LSTM as deep sequential model

omar-florez/VQA-ModuleNetworks

omar-florez

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