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TMLE-explain

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software/tmle-explain

Animated educational video generator for Targeted Maximum Likelihood Estimation (TMLE) causal inference using Manim animations and Chinese TTS narration

Machine-generated from the listed sources and not yet reviewed by a human.

TMLE-explain project image
GitHub preview card for htlin222/TMLE-explain. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
biostatistics · causal-inference · data-science-visualization · education · epidemiology · machine-learning-education · manim · python-animation
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Estimation of the observational analogs of the intention-to-treat and per-protocol effects of hypothetical treatment strategies

  • causal-handbookcausal-inference · epidemiology

    A practical handbook on causal inference methods for evaluating policy interventions and service changes within the NHS, with a focus on leveraging observational real-world data to generate robust…

  • confounder-lower-boundcausal-inference · epidemiology

    Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

  • hte-prediction-rctscausal-inference · epidemiology

    Predicting treatment effects from RCTs (Circulation: CQO 2019).

  • kernel-test-biascausal-inference · epidemiology

    Implementation for the paper "Detecting critical treatment effect bias in small subgroups"

sources
  1. api.github.com/repos/htlin222/TMLE-explain
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-28, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["tmle-explain"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.