GauravBh1010tt/DeepLearn resource

Health v2 · maintenance only

Adoption not part of the score

1847 stars · 349 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Python implementations of deep learning research papers covering NLP, computer vision, and machine learning topics using Keras, TensorFlow, and Scikit-learn. It serves as an educational reference for reproducing models like CorrNet, ABCNN, Siamese networks, and neural tensor networks.

Use cases

• learn how to implement deep learning research papers in keras
• study sentence similarity models like MaLSTM
• understand attention-based CNNs for sentence pair matching
• reproduce community question answering models from papers
• explore correlation neural network implementations
• find reference code for neural tensor networks for knowledge base completion

When to choose

• you want readable reference implementations of classic deep learning NLP and CV papers
• you are studying paper reproduction techniques with Keras and TensorFlow
• you need example code for sentence matching, ranking, or representation learning models

When to avoid

• you need a production-ready maintained library with API guarantees
• you want modern PyTorch implementations or transformer-based models
• you need actively updated code with recent dependency support

Facets

learning-resource · maturity maintenance

deep-learning nlp machine-learning computer-vision deep-learning computer-vision tutorials python research-papers keras tensorflow scikit-learn paper-implementations sentence-similarity question-answering natural-language-processing

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