This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

This is a repository of public data sources for Recommender Systems (RS).

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)

Code related to my dissertation on uplift modeling (a.k.a. heterogeneous treatment effect)

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowe…

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

A book for Learning the Foundations of LLMs

❗ uplift modeling in scikit-learn style in python 🐍

Code to the paper "Improving uplift model evaluation on RCT data"

Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

EconML/CausalML KDD 2021 Tutorial

Uplift modeling and causal inference with machine learning algorithms

This project contains some deep learning code

轩辕：度小满中文金融对话大模型

Project to analyze the 'BlogFeedback Data Set' from the UC Irvine Machine Learning repository

Code for the Make Your Own Neural Network book

A Python 3 package for state-of-the-art statistical dimension reduction methods

Learning Sparse Neural Networks through L0 regularization

Monotonic Networks – 1997, Sill

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target