Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: causal-inference
ddangchani/Supplements
Supplements for Blog posts
Language: Jupyter Notebook - Size: 20 MB - Last synced: about 7 hours ago - Pushed: about 7 hours ago - Stars: 1 - Forks: 0
Kuan-Liu-Lab/bayesmsm
Language: R - Size: 408 KB - Last synced: about 10 hours ago - Pushed: about 11 hours ago - Stars: 0 - Forks: 0
sdfordham/pysyncon
A python module for the synthetic control method
Language: Python - Size: 2.53 MB - Last synced: about 2 hours ago - Pushed: about 18 hours ago - Stars: 29 - Forks: 3
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
Size: 320 KB - Last synced: about 7 hours ago - Pushed: 9 months ago - Stars: 2,799 - Forks: 435
CausalInferenceLab/causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
Size: 1000 KB - Last synced: about 20 hours ago - Pushed: about 21 hours ago - Stars: 4 - Forks: 0
dscolby/CausalELM.jl
Taking causal inference to the extreme!
Language: Julia - Size: 2.31 MB - Last synced: about 22 hours ago - Pushed: about 23 hours ago - Stars: 18 - Forks: 0
drganghe/program-evaluation
Course on Program Evaluation
Language: TeX - Size: 17.3 MB - Last synced: about 20 hours ago - Pushed: about 23 hours ago - Stars: 0 - Forks: 0
larslorch/avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Language: Python - Size: 695 KB - Last synced: about 17 hours ago - Pushed: 2 months ago - Stars: 47 - Forks: 5
CausalInference/pygformula
The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
Language: Python - Size: 8.31 MB - Last synced: about 14 hours ago - Pushed: 1 day ago - Stars: 13 - Forks: 1
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
Language: Python - Size: 1.84 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 52 - Forks: 8
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Language: Python - Size: 27 MB - Last synced: 1 day ago - Pushed: 27 days ago - Stars: 992 - Forks: 172
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
Language: Python - Size: 96.3 MB - Last synced: about 14 hours ago - Pushed: 4 days ago - Stars: 805 - Forks: 48
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
Language: Python - Size: 22.8 MB - Last synced: 1 day ago - Pushed: 5 days ago - Stars: 2,151 - Forks: 252
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Size: 18.8 MB - Last synced: about 7 hours ago - Pushed: about 2 months ago - Stars: 661 - Forks: 120
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
Language: Python - Size: 12.8 MB - Last synced: 2 days ago - Pushed: 7 months ago - Stars: 665 - Forks: 93
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
Language: Python - Size: 93.8 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 4,768 - Forks: 746
jman4162/introduction-to-causal-inference
An educational Python-based introduction to causal inference techniques using machine learning.
Language: Jupyter Notebook - Size: 362 KB - Last synced: 1 day ago - Pushed: 3 days ago - Stars: 0 - Forks: 0
nt-williams/lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Language: R - Size: 2.84 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 53 - Forks: 14
bernardodionisi/differences
difference-in-differences in Python
Language: Python - Size: 3.36 MB - Last synced: 1 day ago - Pushed: 4 months ago - Stars: 77 - Forks: 16
rdemarqui/python-causality-handbook-ptbr Fork of matheusfacure/python-causality-handbook
Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.
Language: Jupyter Notebook - Size: 38.1 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 66 - Forks: 8
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Language: Python - Size: 8.09 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 579 - Forks: 69
agrumery/aGrUM
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).
Language: Jupyter Notebook - Size: 295 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 21 - Forks: 0
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Size: 63.5 KB - Last synced: 5 days ago - Pushed: 11 days ago - Stars: 62 - Forks: 9
carloscinelli/dml.sensemakr
Sensitivity analysis tools for causal ML
Language: R - Size: 124 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 9 - Forks: 3
causy-dev/causy
Causal discovery made easy.
Language: Python - Size: 8.76 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 17 - Forks: 0
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
Language: Python - Size: 7.79 MB - Last synced: about 1 hour ago - Pushed: 7 months ago - Stars: 695 - Forks: 96
ngreifer/WeightIt
WeightIt: an R package for propensity score weighting
Language: R - Size: 9.63 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 98 - Forks: 12
Causal-LDA/TrialEmulation
Language: R - Size: 14.9 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 7 - Forks: 3
cdt15/lingam
Python package for causal discovery based on LiNGAM.
Language: Python - Size: 5.99 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 344 - Forks: 51
IyarLin/blog-code
This repo contains the public directory which is the blog
Language: HTML - Size: 32.7 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 6 - Forks: 2
grf-labs/grf
Generalized Random Forests
Language: C++ - Size: 64.4 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 931 - Forks: 247
Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
Language: TypeScript - Size: 81.8 MB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 3,952 - Forks: 287
y0-causal-inference/y0
❓y0 (pronounced "why not?") is for causal inference in Python
Language: Jupyter Notebook - Size: 7.72 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 40 - Forks: 8
lakshyaag/Airbnb-Price-Predictor
Predicting prices for Airbnb listings in Montreal, QC and exploring causal factors influencing price
Language: Jupyter Notebook - Size: 14.8 MB - Last synced: 7 days ago - Pushed: 8 days ago - Stars: 0 - Forks: 0
amirgazar/Environmental-Impact-Assessment
performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems
Language: R - Size: 20 MB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 2 - Forks: 0
pcausal/practicallycausal.com
Language: CSS - Size: 1.49 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0
KurtButler/joint_causation
Reproducible code for our paper "Measuring Strength of Joint Causal Effects", IEEE TSP 2024.
Language: MATLAB - Size: 175 KB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0
py-why/dodiscover
[Experimental] Global causal discovery algorithms
Language: Python - Size: 422 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 58 - Forks: 14
jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
Size: 30.3 KB - Last synced: 9 days ago - Pushed: over 3 years ago - Stars: 202 - Forks: 42
plasma-umass/coz
Coz: Causal Profiling
Language: C - Size: 8.95 MB - Last synced: 10 days ago - Pushed: 24 days ago - Stars: 3,932 - Forks: 158
neildhir/non-stationary-causal-bandits
Non-stationary multi-armed bandit under a causal perspective
Language: Jupyter Notebook - Size: 1.71 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 1 - Forks: 1
cjerzak/causalimages-software
causalimages: An R package for performing causal inference with image and image sequence data
Language: R - Size: 468 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 15 - Forks: 1
rdpackages/rdlocrand
Finite-sample inference for RD designs using local randomization and related methods.
Language: Stata - Size: 4.43 MB - Last synced: 12 days ago - Pushed: 4 months ago - Stars: 6 - Forks: 6
CausalAIBook/MetricsMLNotebooks
Notebooks for Applied Causal Inference Powered by ML and AI
Language: Jupyter Notebook - Size: 16.6 MB - Last synced: 10 days ago - Pushed: 12 days ago - Stars: 30 - Forks: 24
grf-labs/maq
Qini curves for multi-armed treatment rules
Language: R - Size: 3.27 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 8 - Forks: 2
larslorch/stadion
Causal Modeling with Stationary Diffusions, AISTATS 2024
Language: Python - Size: 369 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 3 - Forks: 0
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
Language: Python - Size: 3.55 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 418 - Forks: 67
jaabmar/kernel-test-bias
Implementation for the paper: "Hidden among subgroups: Detecting critical treatment effect bias in observational studies"
Language: Python - Size: 32.2 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 1 - Forks: 0
rdpackages/rdmulti
Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
Language: Stata - Size: 7.27 MB - Last synced: 12 days ago - Pushed: 5 months ago - Stars: 3 - Forks: 8
TARGENE/TMLE.jl
A pure Julia implementation of the Targeted Minimum Loss-based Estimation
Language: Julia - Size: 4.98 MB - Last synced: 3 days ago - Pushed: 13 days ago - Stars: 16 - Forks: 1
GawainGan/Causal-Inference-The-Mixtape
Mandarin version of Causal Inference The Mixtape with Note
Language: Jupyter Notebook - Size: 51.6 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0
amaiya/causalnlp
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
Language: Jupyter Notebook - Size: 15 MB - Last synced: 10 days ago - Pushed: almost 2 years ago - Stars: 128 - Forks: 11
JuliaDiffinDiffs/DiffinDiffs.jl
A suite of Julia packages for difference-in-differences
Language: Julia - Size: 1.53 MB - Last synced: about 9 hours ago - Pushed: about 1 month ago - Stars: 36 - Forks: 2
MLResearchAtOSRAM/cause2e
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
Language: Python - Size: 8.52 MB - Last synced: 1 day ago - Pushed: about 1 year ago - Stars: 56 - Forks: 4
tmichoel/BioFindr.jl
Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia
Language: Julia - Size: 1.53 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0
QuantLet/Supervised-Randomization
Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing
Language: R - Size: 19.5 KB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0
QuantLet/DataGenerationForCausalInference
Generates synthetic data to apply simulations for causal inference
Language: R - Size: 963 KB - Last synced: 16 days ago - Pushed: about 5 years ago - Stars: 7 - Forks: 7
gmgeorg/pypsps
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Language: Jupyter Notebook - Size: 4.11 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 14 - Forks: 1
jaabmar/confounder-lower-bound
Code for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"
Language: Python - Size: 1.29 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 3 - Forks: 0
mims-harvard/PDGrapher
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Language: Python - Size: 8.03 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 14 - Forks: 4
remlapmot/cibookex-r
Causal Inference: What If. R and Stata code for Exercises
Language: RMarkdown - Size: 57.4 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 80 - Forks: 59
r-causal/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
Language: R - Size: 172 MB - Last synced: 11 days ago - Pushed: about 2 months ago - Stars: 425 - Forks: 28
ssbin0914/Causal-Mode-Multiplexer
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
Language: Python - Size: 1.24 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 9 - Forks: 0
fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
Language: Jupyter Notebook - Size: 160 MB - Last synced: 11 days ago - Pushed: 3 months ago - Stars: 427 - Forks: 71
py-why/EconML
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 Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Language: Jupyter Notebook - Size: 43.1 MB - Last synced: 21 days ago - Pushed: 23 days ago - Stars: 3,545 - Forks: 675
dadmehrdi/causal_inference
cause /kôz/ noun 1. a person or thing that gives rise to an action, phenomenon, or condition.
Language: Jupyter Notebook - Size: 33.2 KB - Last synced: 18 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 0
KurtButler/2023-CCM-paper
Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"
Language: MATLAB - Size: 1.63 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 2 - Forks: 0
bcbeidel/causal-inference-on-time-series-with-causal-impact 📦
Language: HTML - Size: 8.59 MB - Last synced: 19 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1
evan-magnusson/rdd
Python tools for regression discontinuity designs
Language: Python - Size: 619 KB - Last synced: 16 days ago - Pushed: over 4 years ago - Stars: 66 - Forks: 23
paul-krug/pytorch-tcn
(Realtime) Temporal Convolutions in PyTorch
Language: Python - Size: 196 KB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 16 - Forks: 3
rdpackages/rdrobust
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Language: Stata - Size: 10.6 MB - Last synced: 8 days ago - Pushed: 3 months ago - Stars: 65 - Forks: 37
muszyna25/project_causal_climate_dynamics
Causal discovery of drivers of the summer Himalayan precipitation
Language: Jupyter Notebook - Size: 9.23 MB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0
imirzadeh/awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
Size: 12.7 KB - Last synced: about 7 hours ago - Pushed: over 1 year ago - Stars: 206 - Forks: 35
gkukish/ceoresearch
Researching the relationship between stock market performance and involuntary CEO dismissal.
Language: Jupyter Notebook - Size: 8.11 MB - Last synced: 22 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0
Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Language: Python - Size: 5.8 MB - Last synced: 5 days ago - Pushed: almost 1 year ago - Stars: 333 - Forks: 42
rsyi/pylift
Uplift modeling and evaluation library. Actively maintained pypi version.
Language: Python - Size: 7.6 MB - Last synced: 6 days ago - Pushed: 5 months ago - Stars: 70 - Forks: 20
JuliaDynamics/CausalityTools.jl
Algorithms for detecting associations, dynamical influences and causal inference from data.
Language: Julia - Size: 30.2 MB - Last synced: 3 days ago - Pushed: 4 months ago - Stars: 131 - Forks: 9
nhejazi/haldensify
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Language: R - Size: 5.17 MB - Last synced: 22 days ago - Pushed: 3 months ago - Stars: 16 - Forks: 5
google/trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
Language: Python - Size: 4.48 MB - Last synced: 4 days ago - Pushed: 12 months ago - Stars: 55 - Forks: 20
HCPLab-SYSU/CausalVLR Fork of anonymity2023/Causal-VLReasoning
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)
Language: Python - Size: 106 MB - Last synced: 23 days ago - Pushed: 24 days ago - Stars: 109 - Forks: 2
py-why/dowhy
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.
Language: Python - Size: 585 MB - Last synced: 26 days ago - Pushed: 27 days ago - Stars: 6,714 - Forks: 906
Kuan-Liu-Lab/causens
An R package for causal sensitivity analysis methods
Language: R - Size: 4.42 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 1 - Forks: 0
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Language: Python - Size: 9.42 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2,606 - Forks: 694
KaydeeJR/logistics-optimization-causal-inference
An application of causal inference methods to optimizing the location of delivery drivers.
Language: Jupyter Notebook - Size: 2.87 MB - Last synced: 24 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
YZhu0225/Estimating-the-Impact-of-Opioid-Control-Policies Fork of MIDS-at-Duke/pds-2022-yellow-team
The goal of the project is to evaluate the efficiency of laws and policies related to opioid drugs in Florida, Texas, and Washington.
Language: Jupyter Notebook - Size: 10.7 MB - Last synced: 25 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
emtinanseo/Optimization-with-Causal-Inference
Logistic optimization: Delivery drivers location optimization with Causal Inference
Language: Jupyter Notebook - Size: 1.19 MB - Last synced: 25 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
larslorch/dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Language: Python - Size: 13 MB - Last synced: 10 days ago - Pushed: 2 months ago - Stars: 43 - Forks: 10
Boehringer-Ingelheim/BPrinStratTTE
Causal Effects in Principal Strata Defined by Antidrug Antibodies
Language: R - Size: 90.4 MB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 0 - Forks: 1
fulifeng/Causal_Reading_Group
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.
Size: 143 KB - Last synced: 14 days ago - Pushed: about 1 year ago - Stars: 488 - Forks: 75
andrewheiss/evalsp20.classes.andrewheiss.com
🎓 GSU MPA/MPP course on program evaluation and causal inference
Language: HTML - Size: 144 MB - Last synced: 26 days ago - Pushed: about 4 years ago - Stars: 23 - Forks: 10
andrewheiss/closing-backdoors-dags
Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
Size: 452 KB - Last synced: 26 days ago - Pushed: about 4 years ago - Stars: 11 - Forks: 4
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Language: Jupyter Notebook - Size: 46.9 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2,429 - Forks: 428
sb-ai-lab/HypEx
Fast and customizable framework for automatic and quick Causal Inference in Python
Language: Python - Size: 56.4 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 41 - Forks: 2
IDSIA/credici
Credici: Credal Inference for Causal Inference
Language: Java - Size: 978 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 13 - Forks: 1
kkholst/targeted
Targeted inference (R package) https://kkholst.github.io/targeted/
Language: R - Size: 2.49 MB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 8 - Forks: 1
kkholst/target
Target: library for targeted inference https://targetlib.org/
Language: C++ - Size: 11.7 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Language: Python - Size: 13.9 MB - Last synced: 23 days ago - Pushed: about 1 month ago - Stars: 1,051 - Forks: 200
robitalec/statistical-rethinking-colearning-2024
Statistical Rethinking colearning 2024
Language: R - Size: 23.5 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0
RishiSadhir/Causal-inference-The-mixtape-The-remix
A R/tidyverse based companion to Scott Cunningham's Causal Inference: The Mixtape (V. 1.7).
Size: 3.94 MB - Last synced: 28 days ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 1
declare-lab/RECCON
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Language: Python - Size: 15.9 MB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 159 - Forks: 29