This repository is dedicated to small projects and some theoretical material that I used to get into NLP and LLM in a practical and efficient way.

Image Caption Generation using Adaptive Attention

Evaluating the robustness of text-conditioned OD models such as MDETR

A real-time captioning system with support for large and small screen display.

A Deep Neural Network for gif captioning

Image Caption Generation using Spatial Attention

Python script to clean VTT files generated by Microsoft Stream

CLI tool for creating image captions using Ollama vision models

Image Captioning using CNNs and Transformers

Video to Text: Generates description in natural language for given video (Video Captioning)

📺 Software concept for summarizing YouTube video captions.

Project based on our research work titled "A Light-Weight Image to Description Model Using Knowledge Distillation". We performed knowledge distillation to compress the pre-trained llama 2-7b model into our 247M parameter model. Combined it with BLIP captioning model to create an image to description model. Finally integrated it with flutter app.

How to use Image Representation during Image Caption Generation.

A neural network consisting of CNN and LSTM for generating captions of an image thrown at it.

Captioning code in PyTorch

Automatically describing the content of an image in Persian