Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for causality
causality
x
117 search results found
Dowhy
⭐
6,730
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 models and potential outcomes frameworks.
Rath
⭐
3,717
Next generation of automated data exploratory analysis and visualization platform.
Econml
⭐
3,522
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of
Awesome Causality Algorithms
⭐
2,558
An index of algorithms for learning causality with data
Pgmpy
⭐
2,551
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Python Causality Handbook
⭐
2,265
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Eliot
⭐
1,074
Eliot: the logging system that tells you *why* it happened
Generalization Causality
⭐
993
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization model各式各样研究的阅读笔记
Causal Learn
⭐
958
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
Causal_inference_python_code
⭐
898
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Causaldiscoverytoolbox
⭐
804
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Text Papers
⭐
675
Curated research at the intersection of causal inference and natural language processing.
Causalml
⭐
665
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Causallib
⭐
653
A Python package for modular causal inference analysis and model evaluations
Scikit Uplift
⭐
572
❗ uplift modeling in scikit-learn style in python 🐍
Causal_reading_group
⭐
361
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Pyphi
⭐
345
A toolbox for integrated information theory.
Ylearn
⭐
344
YLearn, a pun of "learn why", is a python package for causal inference
Causal Inference With Python
⭐
328
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Lingam
⭐
312
Python package for causal discovery based on LiNGAM.
Causallift
⭐
310
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Awesome Trustworthy Deep Learning
⭐
254
A curated list of trustworthy deep learning papers. Daily updating...
Looper
⭐
201
A resource list for causality in statistics, data science and physics
Cause
⭐
185
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Causalai
⭐
184
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
Causalworld
⭐
169
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Awesome Causal Inference
⭐
169
A (concise) curated list of awesome Causal Inference resources.
Robustdg
⭐
160
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Dice
⭐
130
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Reccon
⭐
128
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Tcdf
⭐
121
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Deep_causality
⭐
106
Hyper-geometric computational causality library for Rust
Pycopent
⭐
101
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Independence), and the statistics for multivariate normality test and two-sample test in Python
Causaldag
⭐
95
Python package for the creation, manipulation, and learning of Causal DAGs
Dir Gnn
⭐
86
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
Pycid
⭐
74
Library for graphical models of decision making, based on pgmpy and networkx
Cfvqa
⭐
70
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Causalinference_crashcourse
⭐
63
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
Iap Cidl
⭐
60
Causal Inference & Deep Learning, MIT IAP 2018
Causation Incomputervision
⭐
56
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Py Bbn
⭐
54
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Causeinfer
⭐
54
Machine learning based causal inference/uplift in Python
Enco
⭐
52
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
Benchpress
⭐
52
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
Causalnewscorpus
⭐
51
Participate in our Shared Task: Event Causality Identification with Causal News Corpus, featured under CASE @ RANLP 2023!
Dodiscover
⭐
48
[Experimental] Global causal discovery algorithms
Cause2e
⭐
45
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
Causal Ir Dil
⭐
43
Distortion invariant feature learning for image restoration from a causality perspective
Causal Gen
⭐
41
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
Pysynthdid
⭐
40
Synthetic difference in differences for Python
Crest
⭐
40
A Causal Relation Schema for Text
Citris
⭐
38
Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
Avici
⭐
38
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Iperceive
⭐
36
Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Scribe Py
⭐
36
Regulatory networks with Direct Information in python
Causalegm
⭐
35
A General Causal Inference Framework by Encoding Generative Modeling
Openasce
⭐
35
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
Copent
⭐
35
R package for estimating copula entropy (mutual information), transfer entropy (conditional independence), and the statistic for multivariate normality test and two-sample test
Causality
⭐
35
In which I play with the ideas surrounding causality
Pywhy Graphs
⭐
34
[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
Causalgraph
⭐
34
A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
Sam
⭐
33
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Invariant Risk Minimization
⭐
32
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
Causal Inference
⭐
30
Materials Collection for Causal Inference
Cfgen
⭐
29
Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".
Climate Econ
⭐
27
A repository for tracking developments in the climate/environmental/ecological economics literature
Gvar
⭐
26
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Toybox
⭐
26
The Machine Learning Toybox for testing the behavior of autonomous agents.
Obs Causal Q Network
⭐
23
AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
Bioexp
⭐
23
Explainability of Deep Learning Models
Sift
⭐
22
SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.
Nonlincausality
⭐
20
Python package for Granger causality test with nonlinear forecasting methods.
Causal Deconvolution Of Networks
⭐
18
Causal Deconvolution of Networks by Algorithmic Generative Models
Invariantcausal.jl
⭐
17
Causal Inference with Invariant Prediction
Agrum
⭐
17
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).
Size Invariant Gnns
⭐
17
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Awesome Neural Logic
⭐
17
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
Cauder Core
⭐
17
A Causal-Consistent Debugger for (Core) Erlang
Time Robust Forest
⭐
14
Leverage timestamp information to improve Random Forest out of distribution generalization.
Msa
⭐
13
Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
Eso And Ceo
⭐
13
Events and Situations Ontology
Recourse
⭐
12
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
Cfml_tools
⭐
12
My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
Learningbydoing Comp
⭐
11
LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
Overview_causal_inference
⭐
11
A Brief Overview of Causal Inference (xaringan presentation)
Causal Recommender Systems
⭐
11
An index of causal inference based recommendation algorithms.
Cmcir
⭐
10
[IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
Unicorn
⭐
10
A Framework for Reasoning about System Performance using Causal AI
Cci
⭐
10
Cyclic Causal Inference
Typed Dag
⭐
9
Causal discovery with typed directed acyclic graphs (t-DAG)
Cs Um
⭐
9
Causal Simulations for Uplift Modeling
Colab Notebooks
⭐
9
Colab notebooks exploring different Machine Learning topics.
Rdd
⭐
9
Python tools for regression discontinuity designs
Pypsps
⭐
9
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Icassp2019_tcn
⭐
8
Improved sEMG-based gesture recognition
Credici
⭐
8
Credici: Credal Inference for Causal Inference
Online Causal Models
⭐
8
Accompanying code for the paper "Learning Causal Models Online"
Causality4rec_paperlist
⭐
7
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Simmixeddag
⭐
7
The simMixedDAG package enables simulation of "real life" datasets from DAGs
Headlinecause
⭐
7
A dataset of news headlines for detecting causalities
1-100 of 117 search results
Next >
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.