Alternatives and similar repositories for rapids-ai-BBO-2nd-place-solution

Users that are interested in rapids-ai-BBO-2nd-place-solution are comparing it to the libraries listed below

• anonICLR2020 / node
  ☆26Updated 6 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆115Updated 5 years ago
• imdeepmind / NeuralPy
  NeuralPy: A Keras like deep learning library works on top of PyTorch
  ☆79Updated last year
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• catalyst-team / alchemy
  Experiments logging & visualization
  ☆50Updated 4 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆157Updated 4 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 5 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆91Updated 3 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• GillesVandewiele / covid19-mrna-degradation-prediction
  Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle
  ☆21Updated 5 years ago
• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated 2 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated 2 years ago
• uber-research / GTN
  ☆79Updated 5 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• avkl / twinning
  Data Twinning
  ☆25Updated 3 years ago
• ChanChiChoi / awesome-automl
  collecting related resources of automated machine learning here
  ☆54Updated 3 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
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 4 years ago
• simon-larsson / keras-swa
  Simple stochastic weight averaging callback for Keras
  ☆63Updated 4 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago