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This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Convolutional LSTM for Precipitation Nowcasting

An implementation of LSTM and CTC to recognize simple english sentence image

developed with tensorflow 2.1.0

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

基于卡口实时过车数据进行交通流量的实时预测分析，使用LSTM循环神经网络模型进行融合预测，准确率达到90%以上。

Text Generation using Bidirectional LSTM and Doc2Vec models

Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.