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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
1,063 commits to main branch, last one 9 days ago
Next generation of automated data exploratory analysis and visualization platform.
Created
2019-08-28
1,634 commits to master branch, last one 4 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
516 commits to main branch, last one a day 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
228 commits to master branch, last one about a month 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
579 commits to main branch, last one 5 days 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 11 months 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 7 days ago
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Created
2024-06-07
179 commits to main branch, last one a day 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 4 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 4 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 10 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 3 months ago
Python package for causal discovery based on LiNGAM.
Created
2019-08-22
544 commits to master branch, last one 3 days ago
A toolbox for integrated information theory.
Created
2014-04-08
4,664 commits to feature/iit-4.0 branch, last one 28 days 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
639 commits to master branch, last one 4 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
238 commits to master branch, last one 12 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
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
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