Alternatives and similar repositories for getml-demo

Users that are interested in getml-demo are comparing it to the libraries listed below

• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated this week
• sibyl-dev / pyreal
  An easier approach to using and understanding ML models
  ☆22Updated last month
• predict-idlab / INK
  Instance Neighbouring by using Knowledge
  ☆16Updated 8 months ago
• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆23Updated 2 years ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago
• patrickzib / motiflets
  Motiflets
  ☆48Updated 3 weeks ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆56Updated last year
• anhaidgroup / sparkly
  ☆13Updated 2 months ago
• ArjitJ / DIAL
  Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
  ☆17Updated 3 years ago
• TimeEval / TimeEval-GUI
  [Read-Only Mirror] Benchmarking Toolkit for Time Series Anomaly Detection Algorithms using TimeEval and GutenTAG
  ☆27Updated 2 months ago
• flemmerich / pysubgroup
  ☆63Updated 6 months ago
• NilsBarlaug / lemon
  LEMON: Explainable Entity Matching
  ☆18Updated 3 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last month
• scikit-learn-contrib / hiclass
  A python library for hierarchical classification compatible with scikit-learn
  ☆133Updated 3 months ago
• fpetitjean / ProximityForest
  Scalable and accurate classifier for time series
  ☆31Updated 6 years ago
• ThatShelbs / CausalInferenceTimeSeries
  Causal Inference for Time Series Data (with CausalML Demo)
  ☆14Updated last year
• nathanwang000 / Shapley-Flow
  ☆50Updated last year
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 5 months ago
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆134Updated 6 months ago
• irhete / PredictiveMonitoringWithText
  Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
  ☆8Updated 6 years ago
• LaureBerti / Learn2Clean
  Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
  ☆51Updated 2 years ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆291Updated last month
• GuillaumeDD / gowpy
  A very simple library for exploiting graph-of-words in NLP
  ☆12Updated 4 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆62Updated 5 years ago
• TsinghuaDatabaseGroup / CrowdTI
  A truth inference tool in crowdsourcing
  ☆10Updated 5 years ago
• boniolp / Theseus
  [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"
  ☆24Updated 2 years ago
• mengchillee / AutoAudit
  Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)
  ☆16Updated last year
• chu-data-lab / zeroer
  Entity resolution using zero labeled examples
  ☆28Updated 11 months ago