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    • climb

      Public
      CliMB: An AI-enabled Partner for Clinical Predictive Modeling
      Python
      Apache License 2.0
      3710Updated Dec 17, 2024Dec 17, 2024
    • Python
      1000Updated Dec 10, 2024Dec 10, 2024
    • Jupyter Notebook
      1000Updated Dec 10, 2024Dec 10, 2024
    • A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
      Python
      Apache License 2.0
      25122101Updated Dec 2, 2024Dec 2, 2024
    • TRIAGE

      Public
      TRIAGE: Characterizing and auditing training data for improved regression
      Jupyter Notebook
      Apache License 2.0
      3200Updated Nov 25, 2024Nov 25, 2024
    • A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
      Jupyter Notebook
      Apache License 2.0
      22310Updated Nov 21, 2024Nov 21, 2024
    • HDTwinGen

      Public
      Python
      MIT License
      2000Updated Nov 10, 2024Nov 10, 2024
    • Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
      Python
      MIT License
      11300Updated Nov 2, 2024Nov 2, 2024
    • POCA

      Public
      Python
      1000Updated Oct 31, 2024Oct 31, 2024
    • The Medkit-Learn(ing) Environment. An open-source library for offline sequential decision making with a focus on medicine.
      Python
      Other
      1100Updated Oct 2, 2024Oct 2, 2024
    • Data-SUITE: Data-centric identification of in-distribution incongruous examples
      Jupyter Notebook
      MIT License
      4100Updated Oct 2, 2024Oct 2, 2024
    • Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
      Jupyter Notebook
      15100Updated Oct 2, 2024Oct 2, 2024
    • Simplex

      Public
      This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
      Python
      Apache License 2.0
      8300Updated Oct 2, 2024Oct 2, 2024
    • mcm

      Public
      To Impute or not to Impute? Missing Data in Treatment Effect Estimation
      Jupyter Notebook
      MIT License
      2100Updated Oct 2, 2024Oct 2, 2024
    • Data-IQ

      Public
      Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
      Jupyter Notebook
      MIT License
      5500Updated Oct 2, 2024Oct 2, 2024
    • optcommit

      Public
      When to make and break commitments?
      Python
      Apache License 2.0
      1100Updated Oct 2, 2024Oct 2, 2024
    • Jupyter Notebook
      BSD 3-Clause "New" or "Revised" License
      2100Updated Oct 2, 2024Oct 2, 2024
    • Neural Laplace Control
      Python
      MIT License
      5000Updated Oct 2, 2024Oct 2, 2024
    • CATENets

      Public
      Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
      Python
      BSD 3-Clause "New" or "Revised" License
      22400Updated Oct 2, 2024Oct 2, 2024
    • Deep Generative Symbolic Regression Code
      Python
      5200Updated Oct 2, 2024Oct 2, 2024
    • D-CIPHER

      Public
      Jupyter Notebook
      3000Updated Oct 2, 2024Oct 2, 2024
    • Python
      BSD 3-Clause "New" or "Revised" License
      4000Updated Oct 2, 2024Oct 2, 2024
    • Active Observing in Continuous-time Control
      Python
      MIT License
      2000Updated Oct 2, 2024Oct 2, 2024
    • DAGNOSIS

      Public
      Python
      GNU General Public License v3.0
      2000Updated Oct 2, 2024Oct 2, 2024
    • L2MAC

      Public
      🚀 The LLM Automatic Computer Framework: L2MAC
      Python
      MIT License
      23200Updated Oct 2, 2024Oct 2, 2024
    • synthcity

      Public
      A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
      Python
      Apache License 2.0
      66481362Updated Oct 1, 2024Oct 1, 2024
    • CLLM

      Public
      Curated LLM (ICML 2024)
      Jupyter Notebook
      Apache License 2.0
      1000Updated Sep 24, 2024Sep 24, 2024
    • Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt, and Mihaela van der Schaar
      Python
      MIT License
      1000Updated Sep 16, 2024Sep 16, 2024
    • The GitHub Repo for the hands-on session at NLDL entitled "Tutorial: Innovative Uses of Synthetic Data Tutorial".
      Apache License 2.0
      1800Updated Sep 5, 2024Sep 5, 2024
    • A repository containing the materials required to complete the "AAAI Lab for Innovative Uses of Synthetic Data". This includes tutorials on how to use the library "Synthcity" for improving the fairness and privacy of a dataset as well as for augmenting a small dataset using some other similar datasets.
      Jupyter Notebook
      MIT License
      21200Updated Sep 4, 2024Sep 4, 2024