Causalml
uber
Uplift modeling and causal inference with machine learning algorithms
OPENAGENTSKILL / DIRECTORY
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Results: 56
uber
Uplift modeling and causal inference with machine learning algorithms
RobsonTigre
Step-by-step causal inference — method selection, assumptions, and robustness checks
thu-ml
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal For…
blitzarx1
Interactive graph visualization widget for rust powered by egui and petgraph
rodmoioliveira
Graphs and passing networks in football.
jacomyal
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
Egonex-AI
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Code…
clshortfuse
RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and t…
Graphify-Labs
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, ima…
AykutSarac
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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