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lumalabs/imm

imm

Official implementation of Inductive Moment Matching

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Builder

lumalabs

lumalabs • individual

Stars

579

Using upstream star count

Forks

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Mar 11, 2025

Project creation date

README Summary

This repository contains the official implementation of Inductive Moment Matching (IMM), a machine learning technique developed by Luma Labs. IMM appears to be a method for matching statistical moments in an inductive learning setting, likely for generative modeling or distribution matching tasks.

AI Dev Skills

Unmapped

Domain AdaptationDistribution Shift HandlingStatistical Moment MatchingNeural Network RegularizationInductive LearningTransfer Learning

Taxonomy

AI Trends

Robust AI Distribution-aware Learning

Deployment Context

Self-hosted

Modalities

Tabular Image

Skill Areas

Domain Adaptation Distribution Shift Handling Statistical Moment Matching Neural Network Regularization Inductive Learning Transfer Learning

Use Cases

Domain Adaptation Robust Model Training Distribution Shift Mitigation Cross-domain Generalization

Recent Activity

Updated 9 months ago

7 Days

30 Days

90 Days

Quality

research

Quality: medium
Maturity: research

PM Skills

Data & EvaluationCost & Efficiency

Languages

Python100.0%

Timeline

Project created: Mar 11, 2025
Forked: Mar 14, 2026
Your last push: 9 months ago
Upstream last push: 9 months ago
Tracked since: Jul 11, 2025

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imm