Tixierae/deep_learning_NLP
A collection of deep learning implementations for NLP tasks including neural machine translation, word embeddings, and attention mechanisms.
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This repository provides Keras, PyTorch, and NumPy implementations of classical deep learning architectures for natural language processing. It includes a fully functional seq2seq neural machine translation model with multiple attention mechanisms (dot, general, concat), implementations of Word2vec and Doc2vec trained from scratch using only NumPy, hierarchical attention networks, and various sequence modeling techniques. All implementations are well-commented and designed for educational purposes.
Frequently asked
- What is Tixierae/deep_learning_NLP?
- A collection of deep learning implementations for NLP tasks including neural machine translation, word embeddings, and attention mechanisms.
- Is deep_learning_NLP open source?
- Yes — Tixierae/deep_learning_NLP is an open-source project tracked on heatdrop.
- What language is deep_learning_NLP written in?
- Tixierae/deep_learning_NLP is primarily written in Jupyter Notebook.
- How popular is deep_learning_NLP?
- Tixierae/deep_learning_NLP has 440 stars on GitHub.
- Where can I find deep_learning_NLP?
- Tixierae/deep_learning_NLP is on GitHub at https://github.com/Tixierae/deep_learning_NLP.