Showing 1-15 of 15 projects
Sequence-to-sequence toolkit for NLP tasks like translation and summarization
Tutorials on implementing sequence-to-sequence models with PyTorch and TorchText for machine translation and more.
A sequence-to-sequence toolkit developed by Facebook AI Research for natural language processing tasks.
A Keras library for building sequence-to-sequence models, useful for vibe coders building AI-powered apps.
Official repository for the OFA (Unifying Architectures, Tasks, and Modalities) AI model, supporting various vision-language tasks.
Large Concept Models for language modeling in a sentence representation space using PyTorch.
A deep learning-based speech recognition library built on TensorFlow for developers working with AI-powered audio apps.
CLUENER2020 is a Chinese fine-grained named entity recognition dataset and benchmark for AI-powered NLP development.
A PyTorch implementation of BERT for sequence-to-sequence tasks, including text summarization, classification, and generation.
Sequence-to-sequence model with LSTM encoder/decoders and attention for natural language processing.
Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.
MASS is a pre-training framework for language generation tasks using masked sequence-to-sequence learning.
FAIR Sequence Modeling Toolkit 2 is a powerful PyTorch-based library for training custom language models and sequence-to-sequence models.
SETR is a transformer-based approach for rethinking semantic segmentation from a sequence-to-sequence perspective.
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
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