Alternatives and similar repositories for alphaclean

Users that are interested in alphaclean are comparing it to the libraries listed below

• schelterlabs / jenga
  Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptio…
  ☆42Updated 2 years ago
• Innixma / autogluon-benchmarking
  Benchmarking Utilities for AutoGluon
  ☆21Updated 4 years ago
• sjyk / datacleaning-benchmark
  ☆40Updated 9 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆223Updated 3 weeks ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆113Updated 2 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 4 years ago
• fidelity / textwiser
  [AAAI 2021] TextWiser: Text Featurization Library
  ☆58Updated 10 months ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• stefan-grafberger / mlinspect
  Inspect ML Pipelines in Python in the form of a DAG
  ☆70Updated last year
• stanford-futuredata / omg
  ☆22Updated 2 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 6 months ago
• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆22Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated 7 months ago
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆45Updated 5 months ago
• HazyResearch / reef
  Automatically labeling training data
  ☆107Updated 7 years ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆109Updated last year
• asyml / stave
  An extensible framework for building visualization and annotation tools to enable better interaction with NLP and Artificial Intelligence…
  ☆49Updated 2 years ago
• easeml / automl
  A Scalable Auto-ML System
  ☆55Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• autonlab / weasel
  Weakly Supervised End-to-End Learning (NeurIPS 2021)
  ☆156Updated 2 years ago
• ml-tue / automated-string-cleaning
  Repository for my master thesis on automated string handling
  ☆16Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 5 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• LaureBerti / Learn2Clean
  Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
  ☆53Updated 3 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 7 years ago
• salesforce / ml4ir
  Machine Learning for Information Retrieval
  ☆86Updated 8 months ago
• knodle / knodle
  A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…
  ☆108Updated last year
• ezelikman / Context-Is-Everything
  Official details for: [1803.08493] Context is Everything: Finding Meaning Statistically in Semantic Spaces
  ☆39Updated 6 years ago