[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Domain adaptation made easy. Fully featured, modular, and customizable.

An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.

python code for kernel methods

Estimators for the entropy and other information theoretic quantities of continuous distributions

Trustworthy AI related projects

Lightweight ML Experiment Logging 📖

Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

Uplift modeling and causal inference with machine learning algorithms

Tools for causal analysis

DAGs with NO TEARS: Continuous Optimization for Structure Learning

A decision-tree based conditional independence test.

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Python code of Hilbert-Schmidt Independence Criterion

Master's thesis project. A causal inference algorithm based on Information Field Theory

Compute co-occurrence strength between sentences with short learning time

FinRL: Financial Reinforcement Learning. 🔥

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Mixture of experts layers for Keras