Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification

This repo works on developing proof of concepts for some tasks.

UpLabel is a lightweight, Python-based and modular tool which serves to support your machine learning tasks by making the data labeling process more efficient, automated and structured.

Campaign classification tool and performance predictor which helps marketers and brands to detect whether their campaigns will succeed in terms of Open Rate, CTR and CTOR.