Alternatives and similar repositories for node

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

• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆52Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 6 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 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
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆61Updated 7 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated last year
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated last year
• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• Pak911 / fastai-shared-notebooks
  ☆20Updated 5 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated last month
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago