Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
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Updated
May 22, 2024 - Python
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
A sequence-to-sequence voice conversion toolkit.
Input Output Hidden Markov Model (IOHMM) in Python
Interpretability for sequence generation models 🐛 🔍
A library for open domain query facet extraction and generation
DELTA is a deep learning based natural language and speech processing platform.
a dna sequence generation/classification using transformers
A few approaches using sequence to sequence (seq2seq) architecture to solve semantice parsing problem
[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
YAI 11 x @POZAlabs : Music generation & modification from Unclear midi SEquence with Diffusion model
TensorFlow implementations of losses for sequence to sequence machine learning models
BERT-based pre-trained non-autoregressive sequence-to-sequence model
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Sequence to Sequence Models in PyTorch
Tranformer model implemented in PyTorch for educational purposes
Tensorflow Temporal Convolutional Network
RNN Encoder-Decoder in PyTorch
Program and package that retrieves nucleotide coding sequences from NCBI that correspond to a set of input protein sequences.
Training and evaluation codes for the BertGen paper (ACL-IJCNLP 2021)
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