hnu-zss

SDAE

Stacked Denoising AutoEncoder

load_prediction

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

LightGBMLSS

An extension of LightGBM to probabilistic modelling

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

LibMTL

A PyTorch Library for Multi-Task Learning

Forecasting-TCN

TCN(Temporal Convolutional Network) model for load forecasting with serial data.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

tcn-fx-price-prediction

Forex Time-Series Prediction Using TCN

deep-tcn-tensorflow

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

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

keras-tuner

A Hyperparameter Tuning Library for Keras

ArtificialIntelligence

Basic-Multi-task-Learning

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

Awesome-Multi-Task-Learning

A list of multi-task learning papers and projects.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

keras-tcn

Keras Temporal Convolutional Network.

Twitter-Sentiment-Analysis

BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.

keras

Deep Learning for humans

TCN

Sequence modeling benchmarks and temporal convolutional networks

TCN-with-attention

Character based Temporal Convolutional Networks + Attention Layer

torch-light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

Better_LSTM_PyTorch

An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

deepTCN

tataCommDatathon

A time-series forecasting model in Prophet for projection of business potential data.

automl