Evaluation code for various unsupervised automated metrics for Natural Language Generation.
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Updated
Mar 15, 2024 - Python
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Python code for various NLP metrics
The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)
Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.
Useful python NLP tools (evaluation, GUI interface, tokenization)
A visual and interactive scoring environment for machine translation systems.
Deep CNN-LSTM for Generating Image Descriptions 😈
A basic AI chat using the OpenAI API and its GPT-3 models
Image Captioning using Deep learning models in Keras.
In this project, I define and train an image-to-caption model that can produce descriptions for real world images with Flickr-8k dataset.
Tensorflow implementation of "Show and Tell"
State of the art of Neural Machine Translation with PyTorch and TorchText.
Generate caption on images using CNN Encoder- LSTM Decoder structure
Using Google Colab, we develop a NMT, language translator. Here, we do NMT to translate from English to Vietnamese.
Repository for Software Engineering: Language Translator
A CNN-LSTM model to generate a sentence/caption that describes the contents/scene of an image.
Neural Machine Translation using seq-to-seq encoder decoder architecture
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