19 results found Sort:

Kanaries
Rath Kanaries
301
4.0k
agpl-3.0
44
Next generation of automated data exploratory analysis and visualization platform.
eda k6s autovis tableau kanaries causality datamining data-analysis visualization causal-discovery causal-inference data-exploration machine-learning data-visualization augmented-analytics tableau-alternative automated-data-analysis automated-visualization
Created 2019-08-28
1,630 commits to master branch, last one 2 months ago
pgmpy
pgmpy pgmpy
694
2.6k
mit
74
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
python inference simulations causal-discovery causal-inference bayesian-networks structure-learning directed-acyclic-graph probabilistic-graphical-models
Created 2013-09-20
2,960 commits to dev branch, last one a day ago
FenTechSolutions
CausalDiscoveryToolbox FenTechSolutions
199
1.1k
mit
37
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
graph python toolbox algorithm causality inference causal-models causal-discovery causal-inference machine-learning graph-structure-recovery
Created 2017-05-31
742 commits to master branch, last one about a year ago
py-why
causal-learn py-why
172
1.0k
mit
15
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
graph causal python tetrad causality structure confounder statistics time-series hidden-causal causal-discovery causal-inference independence-tests causal-representation-learning
Created 2020-10-11
524 commits to main branch, last one about a month ago
jvpoulos
causal-ml jvpoulos
116
626
unknown
27
Must-read papers and resources related to causal inference and machine (deep) learning
paper-list causal-models deep-learning counterfactual causal-learning causal-discovery causal-inference machine-learning treatment-effects counterfactual-learning representation-learning estimating-treatment-effects randomized-controlled-trials heterogeneous-treatment-effects
Created 2019-10-13
81 commits to master branch, last one about a year ago
DataCanvasIO
YLearn DataCanvasIO
75
382
apache-2.0
11
YLearn, a pun of "learn why", is a python package for causal inference
uplift causality causal-models policy-learning uplift-modeling causal-discovery causal-inference causality-analysis causality-algorithms
Created 2022-03-28
792 commits to main branch, last one 3 months ago
cdt15
lingam cdt15
52
348
mit
11
Python package for causal discovery based on LiNGAM.
lingam python causality causal-models causal-discovery causal-inference machine-learning causality-analysis
Created 2019-08-22
517 commits to master branch, last one 27 days ago
msuzen
looper msuzen
32
243
unknown
12
A resource list for causality in statistics, data science and physics
causal physics causality causation statistics data-science causal-impact causal-models meta-learning causal-networks causal-discovery causal-inference machine-learning bayesian-inference causality-analysis statistical-physics causality-algorithms statistical-inference statistical-mechanics causal-machine-learning
Created 2018-01-04
235 commits to master branch, last one 3 months ago
loeweX
AmortizedCausalDiscovery loeweX
41
195
mit
7
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
pytorch deep-learning causal-discovery graph-neural-networks
Created 2020-06-18
18 commits to master branch, last one 2 years ago
IntelLabs
causality-lab IntelLabs
18
144
apache-2.0
10
Causal discovery algorithms and tools for implementing new ones
transformers explainable-ai causal-discovery causal-reasoning causality-algorithms constraint-based-causality
Created 2021-11-25
53 commits to main branch, last one 2 months ago
majianthu
pycopent majianthu
29
139
gpl-3.0
3
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in...
copula python entropy causality changepoint correlation copula-entropy normality-test two-sample-test causal-discovery change-detection transfer-entropy granger-causality hypothesis-testing information-theory mutual-information variable-selection change-point-detection conditional-independence-test conditional-mutual-information
Created 2020-03-30
95 commits to master branch, last one 16 days ago
Wuyxin
DIR-GNN Wuyxin
14
114
mit
5
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
pytorch iclr2022 causality generalization causal-discovery interpretability invariant-learning graph-neural-networks
Created 2022-01-29
50 commits to main branch, last one 11 months ago
kevinsbello
dagma kevinsbello
19
80
apache-2.0
3
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
dags neurips-2022 causal-discovery graphical-models bayesian-networks structure-learning
Created 2022-10-31
109 commits to main branch, last one 5 months ago
phlippe
ENCO phlippe
15
76
other
3
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
pytorch causality causal-discovery structure-learning
Created 2021-07-21
10 commits to main branch, last one about a year ago
felixleopoldo
benchpress felixleopoldo
16
61
gpl-2.0
5
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
causality benchmarking causal-models markov-networks causal-discovery graphical-models machine-learning bayesian-networks snakemake-workflow structure-learning reproducible-research
Created 2020-01-15
1,413 commits to master branch, last one 25 days ago
larslorch
avici larslorch
5
48
mit
1
Amortized Inference for Causal Structure Learning, NeurIPS 2022
causality transformers causal-discovery causal-inference structure-learning amortized-inference variational-inference
Created 2022-10-11
29 commits to main branch, last one 3 months ago
lazaratan
dyn-gfn lazaratan
11
46
mit
2
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
pytorch gflownet causal-discovery
Created 2023-02-06
50 commits to main branch, last one 3 months ago
chritoth
active-bayesian-causal-inference chritoth
5
45
mit
3
Active Bayesian Causal Inference (Neurips'22)
active-learning bayesian-methods causal-discovery causal-inference causal-reasoning gaussian-processes experimental-design probabilistic-machine-learning
Created 2022-10-07
3 commits to master branch, last one about a year ago
polixir
causal-mbrl polixir
1
32
mit
3
Toolkit of Causal Model-based Reinforcement Learning.
model-based-rl causal-discovery causal-inference reinforcement-learning
Created 2022-05-23
65 commits to main branch, last one about a year ago