Alternatives and similar repositories for feature-importance-neural-networks:

Users that are interested in feature-importance-neural-networks are comparing it to the libraries listed below

• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆167Updated 4 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 5 years ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆95Updated last year
• shivram1987 / ActivationFunctions
  ☆48Updated 2 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆38Updated 4 years ago
• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆100Updated 11 months ago
• KurochkinAlexey / SOM-VAE
  Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf
  ☆31Updated 5 years ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆180Updated last year
• ValentinFigue / Sklearn_PyTorch
  Transposition in PyTorch to Sklearn models such as Random Forest or SVM
  ☆54Updated 5 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆69Updated 3 years ago
• jjdabr / forecastNet
  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series F…
  ☆97Updated 3 years ago
• timeseriesAI / timeseriesAI1
  Practical Deep Learning for Time Series / Sequential Data using fastai1/ Pytorch
  ☆22Updated 4 years ago
• jcborges / DeepStack
  DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level
  ☆38Updated 2 years ago
• sbadirli / GrowNet
  ☆198Updated 3 years ago
• LeiCheng-no / CDIL-CNN
  ☆31Updated 2 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆56Updated last year
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆86Updated 4 months ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• otenim / Numpy-ELM
  A Numpy Implementation of Extreme Learning Machine (ELM)
  ☆35Updated 5 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆63Updated 4 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆107Updated 5 years ago
• unnir / CancelOut
  CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …
  ☆26Updated 4 years ago
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆96Updated 9 months ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆113Updated 11 months ago
• dependable-cps / adversarial-MTSR
  ☆30Updated 4 years ago
• atreyasha / mv-temporal-rgan
  Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…
  ☆24Updated 6 months ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆80Updated 2 years ago
• aybchan / uber-time-series
  Bayesian time series prediction
  ☆64Updated 4 years ago