The GitHub repository for the paper "Informer" accepted by AAAI 2021.

TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.

Physical-constrain hydrology model based multitask learning (source code of "Enforcing Water Balance in Multitask Deep Learning Models for Hydrological Forecasting", Journal of Hydrometeorology)

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

Contains the implementation of HyperFace: A deep multi task learning framework for facial recognition, landmark detection, pose and gender detection

Food Ingredients Recognition and Calorie Estimation using Multi-Task Deep Learning

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

tfts: Time Series Deep Learning Models in TensorFlow

A library to benchmark various transformer and non-transformer models on time series forcasting, imputation and abnormality detection

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convol…

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compar…

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

📈 Previsão do Índice S&P 500 Utilizando LSTM e Mecanismos de Atenção

AD-mutation-effectors

深度学习以进行时间序列预测