Lists (4)
Stars
A solver for nonlinear programming with GPU support
Python implementation of the rulefit algorithm
pretab is a flexible and extensible preprocessing library for tabular data, built on top of scikit-learn. It provides advanced transformations, spline and neural feature expansions, and seamless in…
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mamb…
A light-weight, flexible, and expressive statistical data testing library
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry u…
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you…
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Exact feature attribution with UMAP
Rust implemention of causal graphs and algorithms
Tutorials on Causal Inference and pgmpy
A Python library that helps data scientists to infer causation rather than observing correlation.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Makes algorithms/code in Tetrad available in Python via JPype
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
Differentiable tree-based models for tabular data
A scientific instrument for investigating latent spaces