GitHub - lime-rt/lime: Line Modeling Engine

GitHub - lime-rt/lime: Line Modeling Engine

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Line Modeling Engine. Contribute to lime-rt/lime development by creating an account on GitHub.

GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier

Continuous Delivery for Machine Learning

Frontiers Machine Learning Approaches for Hospital Acquired Pressure Injuries: A Retrospective Study of Electronic Medical Records

2.3 Write a program to prompt the user for hours and rate per hour using input to compute gross pay. Use 35 hours and a rate of 2.75 per hour to test

Machine Learning Interpretability

Problem finding qhull · Issue #222 · lime-rt/lime · GitHub

Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors

A Log‐Ratio‐Based Algorithm for Petrologic Mass‐Balance Problems and Uncertainty Assessment - Prissel - 2023 - Geochemistry, Geophysics, Geosystems - Wiley Online Library

Exploring LIME (Local Interpretable Model-agnostic Explanations) — Part 1, by Sze Zhong LIM, Jan, 2024

An Interpretable Convolutional Neural Network Framework for Analyzing Molecular Dynamics Trajectories: a Case Study on Functional States for G-Protein-Coupled Receptors

Welcome to MethylNet's documentation! — MethylNet 0.1 documentation

Swarm-CG: Automatic Parametrization of Bonded Terms in MARTINI-Based Coarse-Grained Models of Simple to Complex Molecules via Fuzzy Self-Tuning Particle Swarm Optimization

GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier

A Log‐Ratio‐Based Algorithm for Petrologic Mass‐Balance Problems and Uncertainty Assessment - Prissel - 2023 - Geochemistry, Geophysics, Geosystems - Wiley Online Library

J.Vikranth Jeyakumar on LinkedIn: GitHub - NVIDIA/TensorRT-LLM: TensorRT-LLM provides users with an…