Ankur3107/nlp_notebooks

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

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This project provides practical, step-by-step guides for building various Natural Language Processing (NLP) applications. You can input raw text data and generate classifications, answers to questions, or even translations. It's designed for data scientists, machine learning engineers, and NLP researchers looking for hands-on examples to implement advanced NLP models.

No commits in the last 6 months.

Use this if you are a developer looking for concrete, executable examples and tutorials to build and fine-tune state-of-the-art NLP models using popular frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.

Not ideal if you are an end-user without programming experience or if you need a pre-built, production-ready application rather than educational code examples.

natural-language-processing machine-learning-engineering text-classification question-answering-systems machine-translation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 18 / 25

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Last pushed

Dec 20, 2022

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