Alternatives and similar repositories for ultraopt

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

• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆70Updated 4 years ago
• auto-flow / auto-flow
  AutoFlow : Automatic machine learning workflow modeling platform
  ☆67Updated 3 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆259Updated last year
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆172Updated 3 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 6 years ago
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 years ago
• michaeljahrer / rankGauss
  ☆26Updated 6 years ago
• itlubber / itlubber-excel-writer
  使用python的openpyxl库操作excel文件和格式化输出
  ☆10Updated 2 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 5 years ago
• Angel-ML / PyTorch-On-Angel
  PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.
  ☆168Updated last month
• hansu1017 / WSDM-CUP-2022-Retention-Score-Prediction
  WSDM2022留存预测挑战赛 第1名解决方案
  ☆95Updated 3 years ago
• zhangjuefei / mentat
  A machine learning library build on python, numpy and pandas.
  ☆23Updated 7 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• hengzhe-zhang / EvolutionaryForest
  An open source python library for automated feature engineering based on Genetic Programming
  ☆149Updated last week
• chansonZ / book-ml-sem
  《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
  ☆187Updated 2 years ago
• JunweiSUN / AutoGL
  AutoGL is a graph learning framework with automatic machine learning techniques, and the 6th solution for AutoGraph Challenge@KDD'20
  ☆10Updated 4 years ago
• NLP-LOVE / Model_Log
  Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等，并以曲线图的形…
  ☆145Updated 3 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 5 years ago
• DeepBlueAI / AutoSmart
  ☆250Updated 4 years ago
• MachineLP / train_arch
  cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…
  ☆208Updated 4 years ago
• Qiuyan918 / Adversarial_Validation_Case_Study
  当样本分布发生变化时，交叉验证无法准确评估模型在测试集上的效果，这时候需要其他构造验证集的方法来应对。
  ☆52Updated 5 years ago
• majianthu / aps2020
  Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
  ☆19Updated 3 years ago
• ThomasCai / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆53Updated 5 years ago
• QLMX / data_mining_models
  Basic data mining model, including feature importance display
  ☆465Updated last year
• aister2020 / KDDCUP_2020_AutoGraph_1st_Place
  KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
  ☆98Updated 4 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆388Updated 4 months ago
• krocki / dnc
  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
  ☆415Updated 3 years ago
• DominickZhang / KDDCup2019_admin
  Our solutions for KDDCup2019 as team "admin"
  ☆14Updated 6 years ago