GauravBh1010tt/DeepLearn
Implementation of research papers on deep learning for NLP and computer vision tasks using Keras and TensorFlow.
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This repository contains implementations of various deep learning research papers spanning natural language processing and computer vision. It covers models such as Neural Tensor Networks for knowledge base completion, Attention-Based CNNs for sentence pair matching, and Correlation Neural Networks for transfer learning. All implementations are written in Python using popular ML frameworks including Keras, TensorFlow, and scikit-learn.
Frequently asked
- What is GauravBh1010tt/DeepLearn?
- Implementation of research papers on deep learning for NLP and computer vision tasks using Keras and TensorFlow.
- Is DeepLearn open source?
- Yes — GauravBh1010tt/DeepLearn is open source, released under the MIT license.
- What language is DeepLearn written in?
- GauravBh1010tt/DeepLearn is primarily written in Python.
- How popular is DeepLearn?
- GauravBh1010tt/DeepLearn has 1.8k stars on GitHub.
- Where can I find DeepLearn?
- GauravBh1010tt/DeepLearn is on GitHub at https://github.com/GauravBh1010tt/DeepLearn.