hnu-zss's starred repositories
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
Forecasting-TCN
TCN(Temporal Convolutional Network) model for load forecasting with serial data.
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
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
Twitter-Sentiment-Analysis
BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.
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.
fuzzy-c-means
A simple python implementation of Fuzzy C-means algorithm.
tataCommDatathon
A time-series forecasting model in Prophet for projection of business potential data.