| mead-ml/mead-baseline |
245 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Deep-Learning Model Exploration and Development for NLP |
| jbuckman/boilerplate-dynet-rnn-lm |
36 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Boilerplate code for quickly getting set up to run language modeling experiments |
| sys1874/seq2seq-model-for-Sohu-2019 |
28 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| 完全端到端的核心实体识别与情感预测 |
| rakshitha123/WeeklyForecasting |
21 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
R |
| This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression. |
| sumanbanerjee1/Code-Mixed-Dialog |
17 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Baichenjia/GHER |
14 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| G-HER algorithm |
| szcom/samplernn |
12 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
other |
Python |
| narratives-of-war/topic-rnn |
9 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
mit |
Python |
| Implementation (in progress) of Dieng et al.'s TopicRNN intended to be used as a baseline and starting point. |
| Manelmc/rnn-time-to-event |
8 |
|
0 |
0 |
about 6 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| An approximation of Recurrent Neural Networks to predict the Time to an Event |
| stwisdom/sista-rnn |
8 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
mit |
Matlab |
| Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding |
