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

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

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

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

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

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…

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

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

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…