Showing 21-32 of 32 projects
A Python library that implements a transformer-based seq2seq model for language translation tasks.
An elegant PyTorch implementation of popular transformer models like BERT, GPT, and more for NLP tasks.
A PyTorch implementation of BERT for sequence-to-sequence tasks, including text summarization, classification, and generation.
A powerful math formula OCR tool that supports handwritten, Chinese-mixed formulas and simple symbol reasoning.
Sequence-to-sequence model with LSTM encoder/decoders and attention for natural language processing.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation using PyTorch.
Sockeye is a PyTorch-based sequence-to-sequence framework for neural machine translation tasks.
This Jupyter Notebook series covers the fundamentals of NLP and Computer Vision, leading to cutting-edge Vision-Language Models.
A comprehensive collection of Transformer models for natural language processing tasks
TextBox 2.0 is a Python library for text generation with pre-trained language models.
A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.
A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.
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