A collection of research papers on decision, classification and regression trees with implementations.

• UpdatedMar 16, 2024
• Python

Stock price prediction model built using BERT and regression model trained on textual financial news data.

• UpdatedDec 9, 2023
• Jupyter Notebook

Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.

• UpdatedMar 25, 2023
• Python

This is the project repo associated with the paper "Disentangling and Integrating Relational and Sensory Information in Transformer Architectures" by Awni Altabaa, John Lafferty

• UpdatedJul 7, 2025
• Jupyter Notebook

B.Sc. Thesis Deep Learning & NLP research on Medical Image Captioning

• UpdatedFeb 3, 2024
• Python

This Guide book is written with the intention of helping researchers and engineers working in machine learning domains to publish reproducible research.

• UpdatedJan 18, 2021

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

• UpdatedAug 22, 2023
• Python

Financial transactions fraud detection using ML (research, experimentation and deployment via Google Cloud)

• UpdatedJul 31, 2024
• Python

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…

• UpdatedFeb 2, 2021
• Jupyter Notebook