Alternatives and similar repositories for AutoML_Survey

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

• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆301Updated 6 years ago
• DeepBlueAI / AutoSmart
  ☆249Updated 4 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆91Updated 6 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
• gopala-kr / meta-learning
  meta-learning research
  ☆159Updated 4 years ago
• cgnorthcutt / benchmarking-keras-pytorch
  🔥 Reproducibly benchmarking Keras and PyTorch models
  ☆367Updated 4 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆217Updated 6 years ago
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆624Updated 2 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆659Updated 2 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• lyakaap / pytorch-template
  My PyTorch project template (for Kaggle and research)
  ☆150Updated 6 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆132Updated 7 years ago
• bojone / keras_lookahead
  lookahead optimizer for keras
  ☆171Updated 6 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆118Updated 5 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 6 years ago
• wallarm / nascell-automl
  ☆254Updated 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
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆180Updated 5 years ago
• datamllab / autokaggle
  Automated Machine Learning (AutoML) for Kaggle Competition
  ☆32Updated 2 years ago
• zhanghang1989 / HPO2NAS-Tutorial-CVPR-ECCV2020
  Hands-on Tutorial on Automated Deep Learning
  ☆149Updated 5 years ago
• guan-yuan / Awesome-AutoML-and-Lightweight-Models
  A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…
  ☆856Updated 4 years ago
• csxeba / evolute
  Evolutionary algorithm toolbox
  ☆182Updated 7 years ago
• renqianluo / NAO
  Neural Architecture Optimization
  ☆284Updated 4 years ago
• Azure / active-learning-workshop
  Active Learning Workshop Materials
  ☆121Updated 6 years ago
• titu1994 / neural-architecture-search
  Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
  ☆440Updated 4 years ago
• jermainewang / dgl
  The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.
  ☆154Updated 2 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago