#Sequence-to-sequence
Showing 16 of 16 repositories tagged #sequence-to-sequence, ranked by stars
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
Neural Machine Translation with Keras
Interpretability for sequence generation models 🐛 🔍
Sequence to sequence learning using TensorFlow.
A web-based document annotation tool, powered by GPT-4 :rocket:
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 (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, MacOS), multimodal model for text and images and so on.
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Neural machine translator for English2German translation.
Solution to im2latex request for research of openai
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
A neural network layer API and library for sequence modeling, designed for easy creation of sequence models that can be executed layerwise (training) and stepwise (sampling).
SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data