Sequence to Sequence Models in PyTorch
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Updated
Dec 13, 2023 - Python
Sequence to Sequence Models in PyTorch
RNN Encoder-Decoder in PyTorch
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Simple TensorFlow implementation of skip-thought vectors
Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
Assignment 2: Neural Machine Translation in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.
ChatBot using Recuurent Neural networks and Cornell Corpus dataset (TensorFlow)
Patent abstract summarization using recurrent neural networks
Official source code of Arrhythmia Detection
Deep RNN model(Encoder - Decoder) with Attention mechanism and Beam Search decoding for langauge translation.
A repository for my pytorch models
PyTorch implementation of Machine Translation using Autoencoder with Attention
En utilisant, un RNN (réseau de neurones récurrents), je vais générer de la musique du style du groupe ‘The Chainsmokers’ c’est-à-dire de la musique POP.
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Text-based Geolocation Prediction of Social Media Users with Neural Networks
Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
End-to-end text-to-speech synthesis based on deep learning
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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