Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Mead Baseline | 245 | 5 months ago | 11 | apache-2.0 | Python | |||||
Deep-Learning Model Exploration and Development for NLP | ||||||||||
Boilerplate Dynet Rnn Lm | 36 | 7 years ago | 1 | Python | ||||||
Boilerplate code for quickly getting set up to run language modeling experiments | ||||||||||
Seq2seq Model For Sohu 2019 | 28 | 5 years ago | Python | |||||||
完全端到端的核心实体识别与情感预测 | ||||||||||
Weeklyforecasting | 21 | 2 years ago | 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. | ||||||||||
Code Mixed Dialog | 17 | 6 years ago | apache-2.0 | Python | ||||||
Gher | 14 | 5 years ago | Python | |||||||
G-HER algorithm | ||||||||||
Samplernn | 12 | 6 years ago | 1 | other | Python | |||||
Topic Rnn | 9 | 6 years ago | 1 | mit | Python | |||||
Implementation (in progress) of Dieng et al.'s TopicRNN intended to be used as a baseline and starting point. | ||||||||||
Rnn Time To Event | 8 | 4 years ago | 12 | mit | Jupyter Notebook | |||||
An approximation of Recurrent Neural Networks to predict the Time to an Event | ||||||||||
Sista Rnn | 8 | 7 years ago | 1 | mit | Matlab | |||||
Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding |