27 results found Sort:

py-why
dowhy py-why
958
7.4k
mit
140
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 inference, combining causal graphical ...
python3 causality do-calculus data-science causal-models causal-inference graphical-models machine-learning bayesian-networks treatment-effects causal-machine-learning
Created 2018-05-31
1,074 commits to main branch, last one 3 days ago
mckinsey
causalnex mckinsey
262
2.3k
other
50
A Python library that helps data scientists to infer causation rather than observing correlation.
causalnex data-science causal-models causal-networks causal-inference machine-learning bayesian-networks bayesian-inference
Created 2019-12-12
226 commits to develop branch, last one about a year ago
FenTechSolutions
CausalDiscoveryToolbox FenTechSolutions
202
1.2k
mit
36
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 2 years ago
BiomedSciAI
causallib BiomedSciAI
101
766
apache-2.0
22
A Python package for modular causal inference analysis and model evaluations
ml causal causality data-science causal-models causal-inference machine-learning
Created 2019-04-04
91 commits to master branch, last one 18 days ago
jvpoulos
causal-ml jvpoulos
129
703
unknown
28
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 2 years ago
erdogant
bnlearn erdogant
49
507
other
7
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
dag causal python causal-models causal-networks machine-learning sampling-methods bayesian-inference causality-analysis parameter-learning structure-learning directed-acyclic-graph
Created 2020-01-01
985 commits to master branch, last one 6 days ago
DataCanvasIO
YLearn DataCanvasIO
75
418
apache-2.0
12
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
798 commits to main branch, last one 8 days ago
cdt15
lingam cdt15
63
413
mit
10
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
552 commits to master branch, last one about a month ago
msuzen
looper msuzen
33
264
unknown
11
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
246 commits to master branch, last one 4 days ago
TimeLovercc
Awesome-Graph-Causal-Learning TimeLovercc
17
195
mit
8
A list of Graph Causal Learning materials.
causal-models deep-learning causal-inference machine-learning graph-neural-networks
Created 2022-04-26
139 commits to main branch, last one 3 months ago
OscarEngelbrektson
SyntheticControlMethods OscarEngelbrektson
54
182
apache-2.0
5
A Python package for causal inference using Synthetic Controls
python package causality econometrics causal-models counterfactual causal-inference policy-evaluation synthetic-control causality-analysis program-evaluation
Created 2020-06-27
107 commits to master branch, last one 3 years ago
declare-lab
RECCON declare-lab
30
179
unknown
11
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
dataset emotion roberta causality inference reasoning bert-model causal-spans causal-models conversations emotion-cause emotion-tasks causal-inference dialogue-systems dialogue-generation emotion-recognition natural-language-inference emotion-cause-pair-extraction emotion-recognition-in-conversation
Created 2020-11-30
45 commits to main branch, last one 3 years ago
uhlerlab
causaldag uhlerlab
19
152
other
7
Python package for the creation, manipulation, and learning of Causal DAGs
causality inference causal-dags causal-models causal-inference
Created 2018-07-28
375 commits to master branch, last one 2 years ago
JackHCC
Awesome-Uplift-Model JackHCC
18
132
mit
2
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
causal-models uplift-modeling causal-inference causal-machine-learning
Created 2022-11-11
27 commits to master branch, last one 2 years ago
paul-krug
pytorch-tcn paul-krug
13
128
mit
3
(Realtime) Temporal Convolutions in PyTorch
causal realtime causal-models causal-inference streaming-inference realtime-neural-network temporal-convolutional-networks
Created 2023-09-22
65 commits to main branch, last one 5 months ago
qitianwu
GraphOOD-EERM qitianwu
9
87
unknown
3
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
pytorch causal-models graph-neural-networks out-of-distribution-generalization
Created 2022-03-06
22 commits to main branch, last one 2 years ago
rsyi
pylift rsyi
20
75
bsd-2-clause
4
Uplift modeling and evaluation library. Actively maintained pypi version.
uplift model-uplift causal-models uplift-modeling causal-inference
This repository has been archived (exclude archived)
Created 2018-09-29
110 commits to master branch, last one 4 years ago
mikenguyen13
data_analysis mikenguyen13
40
73
unknown
4
Streamline a data analysis process
r guide causality guidebook statistics datascience data-science causal-models causal-analysis machinelearning causal-inference machine-learning statistics-course data-visualization statistical-methods statistical-analysis statistical-learning statistical-inference
Created 2020-11-10
133 commits to main branch, last one 15 days ago
changliu00
causal-semantic-generative-model changliu00
3
73
mit
1
Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)
pytorch causal-models generative-model machine-learning
Created 2021-10-26
8 commits to main branch, last one 3 years ago
felixleopoldo
benchpress felixleopoldo
17
68
gpl-2.0
4
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
causality benchmarking causal-models markov-networks causal-discovery graphical-models bayesian-networks snakemake-workflow structure-learning reproducible-research
Created 2020-01-15
1,632 commits to master branch, last one 5 days ago
leizhang-geo
ST-CausalConvNet leizhang-geo
14
63
apache-2.0
1
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
cnn pytorch air-pollution causal-models deep-learning causal-inference
Created 2022-07-25
9 commits to main branch, last one 2 years ago
saezlab
CARNIVAL saezlab
28
59
unknown
10
CAusal Reasoning for Network Identification with integer VALue programming in R
r footprints causal-models integer-linear-programming pathway-enrichment-analysis
Created 2017-10-25
3,578 commits to master branch, last one about a year ago
MLResearchAtOSRAM
cause2e MLResearchAtOSRAM
4
58
mit
5
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
dowhy python tetrad causality causal-models causal-analysis causal-inference causal-reasoning domain-knowledge
Created 2021-05-11
188 commits to main branch, last one 2 years ago
diviyank
SAM diviyank
10
52
apache-2.0
7
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
causality causal-models graph-algorithms
Created 2018-03-12
28 commits to master branch, last one 4 years ago
agrumery
aGrUM agrumery
0
37
other
5
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
xai cpp20 python python3 causality causal-models credal-network explainable-ai markov-network bayesian-network causal-inference influence-diagram parallel-algorithm structural-learning statistical-learning artificial-intelligence probabilistic-inference probabilistic-classifiers machine-learning-algorithms probabilistic-graphical-models
Created 2022-05-15
6,133 commits to master branch, last one 27 days ago
zlxy9892
ST-CausalConvNet zlxy9892
11
36
apache-2.0
2
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
cnn pytorch air-pollution causal-models deep-learning causal-inference
Created 2021-05-21
9 commits to main branch, last one 2 years ago
neildhir
DCBO neildhir
11
36
mit
1
Dynamic causal Bayesian optimisation
gpy networkx time-series neurips-2021 causal-models decision-making causal-inference machine-learning bayesian-optimization
Created 2021-06-21
88 commits to master branch, last one 2 years ago