Unsupervised text tokenizer for Neural Network-based text generation.
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Updated
Dec 1, 2024 - C++
Unsupervised text tokenizer for Neural Network-based text generation.
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Fast inference engine for Transformer models
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
Open Source Neural Machine Translation in Torch (deprecated)
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Neural machine translation and sequence learning using TensorFlow
A list of NLP(Natural Language Processing) tutorials
Fast Neural Machine Translation in C++
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
curated collection of papers for the nlp practitioner 📖👩🔬
Open-Source Neural Machine Translation in Tensorflow
TensorFlow and Deep Learning Tutorials
An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
Minimalist NMT for educational purposes
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