agataf's Stars
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
washingtonpost/data-police-shootings
The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since 2015.
OHDSI/CommonDataModel
Definition and DDLs for the OMOP Common Data Model (CDM)
ModelOriented/DrWhy
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
propublica/compas-analysis
Data and analysis for 'Machine Bias'
MimiOnuoha/missing-datasets
An overview and exploration of the concept of missing datasets.
jasonwu0731/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
adebayoj/fairml
acmi-lab/cmu-10721-philosophy-machine-intelligence
Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
SKTBrain/SUMBT
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking (ACL 2019)
osmanio2/multi-domain-belief-tracking
The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper
stanford-oval/almond-dialog-agent
The Open Virtual Assistant
DARTH-git/Microsimulation-tutorial
Code of the Microsimulation tutorial
vlosing/driftDatasets
ihmeuw/vivarium
A python microsimulation framework
irenetrampoline/papers
notes on ML/CS/etc articles
mlr-org/mcboost
Multi-Calibration & Multi-Accuracy Boosting for R
renll/ComerNet
[EMNLP 2019] Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
sebastianGehrmann/phenotyping
This repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".
som-shahlab/fairness_benchmark
Benchmarking fairness methods
HPM573/CourseInfo
syadlowsky/revised-pooled-ascvd
Code to reproduce the results of "Clinical implications of revised pooled cohort equations for estimating atherosclerotic cardiovascular disease risk"
stanford-oval/genie-k8s
Kubernetes scripts to train models with Genie
OHDSI/Legend
An R package implementing Large-Scale Evidence Generation and Evaluation in a Network of Databases (LEGEND).
syadlowsky/calibration
Code implementing "A Calibration Metric for Risk Scores with Survival Data" (MLHC 2019)
stanford-oval/almond-tokenizer
The tokenizer and preprocessor part of the Almond parser
stanford-oval/trade-dst
5harad/fasttt
evan-paul-carey/ML_and_causal_inference_workshop
This is the repository for files for a workshop on ML and Causal Inference
StanfordHPDS/hpds_workflows
Some ideas on workflows and collaboration