This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Using VGG16 to extract features from image to train ML model.

Transfer Learning Using VGG-19 on MNIST dataset

Introduction to APIs - v2

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

This repository contains demos I made with the Transformers library by HuggingFace.

🏅 Collection of Kaggle Solutions and Ideas 🏅

AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering (MICCAI 2019)

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Codes to complement YouTube videos and blog posts on Medium.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

Neural Networks: Zero to Hero

Bayesian active learning library for research and industrial usecases.