text-summarization

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

Turn any PDF into a structured online course with modules, summaries, and key takeaways — powered by Node.js, MySQL, and AI models like GPT-4 & Claude.

Jupyter notebooks for text summarization using Deep Learning techniques

Text summarization model using NLP and Jupyter Notebook

If you want to learn these topics, i refer you to go through this notebook.

Hugging Face Transformers notebooks: IMDB sentiment fine-tuning + common NLP pipelines (NER, summarization, fill-mask, translation) + model/memory analysis.

he notebook applies techniques like sequence‑to‑sequence modeling with attention or transformer‑based architectures to condense the text.

📘 Master LangChain and LLMs with hands-on notebooks, covering data ingestion, text processing, and AI application fundamentals for real-world tasks.