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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 ...
Created
2018-05-31
1,065 commits to main branch, last one 4 days ago
Next generation of automated data exploratory analysis and visualization platform.
Created
2019-08-28
1,634 commits to master branch, last one 5 months ago
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 goal...
Created
2018-04-30
519 commits to main branch, last one 29 days ago
An index of algorithms for learning causality with data
Created
2018-09-19
254 commits to master branch, last one about a year ago
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Created
2020-04-15
229 commits to master branch, last one 26 days ago
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Created
2018-02-04
31 commits to master branch, last one 2 years ago
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Created
2020-10-11
588 commits to main branch, last one a day ago
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Created
2021-06-23
97 commits to main branch, last one about a year ago
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Created
2017-05-31
742 commits to master branch, last one 2 years ago
Eliot: the logging system that tells you *why* it happened
Created
2014-04-09
1,158 commits to master branch, last one about a month ago
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Created
2024-06-07
183 commits to main branch, last one 5 days ago
Curated research at the intersection of causal inference and natural language processing.
Created
2020-09-03
79 commits to master branch, last one about a year ago
:exclamation: uplift modeling in scikit-learn style in python :snake:
Created
2019-12-20
378 commits to master branch, last one 2 years ago
A Python package for modular causal inference analysis and model evaluations
Created
2019-04-04
88 commits to master branch, last one 5 months ago
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Created
2018-12-17
367 commits to master branch, last one 5 months ago
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.
Created
2020-09-20
136 commits to master branch, last one 2 years ago
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Created
2018-12-30
13 commits to master branch, last one 5 years ago
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Created
2022-06-26
195 commits to main branch, last one 12 months ago
YLearn, a pun of "learn why", is a python package for causal inference
Created
2022-03-28
795 commits to main branch, last one 4 months ago
Python package for causal discovery based on LiNGAM.
Created
2019-08-22
548 commits to master branch, last one 10 days ago
A toolbox for integrated information theory.
Created
2014-04-08
4,664 commits to feature/iit-4.0 branch, last one 2 months ago
A curated list of trustworthy deep learning papers. Daily updating...
privacy
backdoor
fairness
green-ai
security
causality
ownership
poisoning
robustness
uncertainty
ai-alignment
watermarking
deep-learning
hallucinations
gradient-leakage
machine-unlearning
interpretable-deep-learning
membership-inference-attack
adversarial-machine-learning
out-of-distribution-generalization
Created
2020-07-19
647 commits to master branch, last one 5 days ago
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Created
2019-04-03
274 commits to master branch, last one about a year ago
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
Created
2022-11-21
32 commits to main branch, last one about a year ago
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
241 commits to master branch, last one 3 days ago
A (concise) curated list of awesome Causal Inference resources.
Created
2019-02-21
13 commits to master branch, last one 2 years ago
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Created
2020-06-27
34 commits to master branch, last one 2 years ago
A Python package for causal inference using Synthetic Controls
Created
2020-06-27
107 commits to master branch, last one 3 years ago
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
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Created
2020-06-12
166 commits to master branch, last one 2 years ago