Alternatives and similar repositories for autokaggle

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

• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• DataSystemsGroupUT / AutoML_Survey
  ☆206Updated 5 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆301Updated 6 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 4 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆118Updated 4 years ago
• MetaLearners / NIPS-2018-AutoML-Challenge
  The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge
  ☆17Updated 6 years ago
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆177Updated 2 years ago
• zhengying-liu / autodl_starting_kit_stable
  Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)
  ☆41Updated 5 years ago
• datamllab / AutoRec
  ☆50Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• datamllab / xdeep
  ☆44Updated 5 years ago
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆53Updated 4 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• giladkatz / ExploreKit
  ☆74Updated 7 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 3 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 11 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆35Updated 6 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆124Updated 5 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆106Updated last year
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆67Updated 2 months ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆110Updated 5 years ago
• alshedivat / meta-blocks
  A modular toolbox for meta-learning research with a focus on speed and reproducibility.
  ☆125Updated 2 years ago
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago