Understanding emotions — from Keras to pyTorch
Detecting emotions, sentiments & sarcasm is a critical element of our natural language understanding pipeline at HuggingFace 🤗. Recently, we have switched to an integrated system based on a NLP model from the MIT Media Lab. Update: We’ve open sourced it! Repo on GitHub The model was initially designed in TensorFlow/Theano/Keras, and we ported it to pyTorch. Compared to Keras, pyTorch gives us mor
Variational Autoencoder (VAE) in Pytorch - Agustinus Kristiadi
Variational Autoencoder (VAE) in Pytorch This post should be quick as it is just a port of the previous Keras code. For the intuition and derivative of Variational Autoencoder (VAE) plus the Keras implementation, check this post. The full code is available in my Github repo: https://github.com/wiseodd/generative-models. The networks Let’s begin with importing stuffs. import torch import torch.nn.f
Generative Adversarial Networks (GAN) in Pytorch - Agustinus Kristiadi
Generative Adversarial Networks (GAN) in Pytorch This week is a really interesting week in the Deep Learning library front. There are two new Deep Learning libraries being open sourced: Pytorch and Minpy. Those two libraries are different from the existing libraries like TensorFlow and Theano in the sense of how we do the computation. In TensorFlow and Theano, we have to symbolically construct our
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