eedeleon

eedeleon's Stars

• brando90/PyPantograph

  Python interface to the Pantograph library

  Language:Python1

• Tecnarca/patectsdgym

  A refactor and extension of the PATECTGAN model with an evaluation suite based on OpenDP

  Language:Jupyter Notebook43

• microsoft/BackwardCompatibilityML

  Project for open sourcing research efforts on Backward Compatibility in Machine Learning

  Language:HTML7114

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python1.9k413

• interpretml/slicer

  Unified slicing for all Python data structures.

  Language:Python364

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.8k1.8k

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.7k335

• opendp/smartnoise-core

  Differential privacy validator and runtime

  Language:Rust29033

• interpretml/interpret-text

  A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

  Language:Python41368

• opendp/smartnoise-sdk

  Tools and service for differentially private processing of tabular and relational data

  Language:Python24564

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.5k1.2k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.9k3.1k

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k918

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k725

• py-why/EconML

  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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k713

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.4k4.2k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript293k38.8k

• greenelab/SPRINT_gan

  Privacy-preserving generative deep neural networks support clinical data sharing

  Language:Jupyter Notebook10435

• microsoft/SynapseML

  Simple and Distributed Machine Learning

  Language:Scala5.1k830