This is a sentiment classifier using LSTM with attention custom estimator in Tensoflow
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Updated
Apr 23, 2019 - Python
This is a sentiment classifier using LSTM with attention custom estimator in Tensoflow
Models for frame-wise video regression
Differentiable Sequence Models
Code for my solution to the Google Quickdraw Doodle Recognition Challenge
Implementation of Transformer Network
Various RNN/Sequence model projects I work(ed) on
Using Recurrent Neural Networks for the handwritten digit classification on MNIST dataset.
Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.
Generate music with LSTM model
Final project of Natural Language Understanding course at University of Trento, in which I tackle sentiment analysis with various deep sequence models and transformers.
Quinn: Complex Word Identification using Neural Networks (CWI-NN)
The repo contains the implementation of my publication GAN-Poser:
Code for the ExpectoSC model
USE: Dynamic User Modeling with Stateful Sequence Models
Jax/Flax/Linen implementation of "Simple Hardware-Efficient Long Convolutions for Sequence Modeling"
Sequence modelling applied to event collisions
Simple implementations of long-range sequence models (LRU, S5, S4, and more).
A dataset utils repository based on tf.data API.
Play The Piano With Deep Learning 用深度学习弹钢琴 2019-5-22
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