sequence-to-sequence topic
ECG-Heartbeat-Classification-seq2seq-model
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
Seq2SeqSharp
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transfo...
IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
THRED
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
Sequence-to-Sequence-101
a series of tutorials on sequence to sequence learning, implemented with PyTorch.
Keras-LSTM-Trajectory-Prediction
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
Neural-Chatbot
A Neural Network based Chatbot
BinPacking_Neural_Combinatorial_Optimization
Bin Packing Problem using Neural Combinatorial Optimization.
Natural-Language-Processing
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.