Alternatives and similar repositories for FilterNet:

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

• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆86Updated 3 years ago
• takotab / fastseq
  A way to use N-Beats in fastai for sequence data
  ☆59Updated last year
• mb4310 / Time-Series
  The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regressi…
  ☆39Updated 5 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆38Updated 11 months ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• Trigram19 / m5-python-starter
  Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
  ☆22Updated 4 years ago
• aslakey / CBM_Encoding
  CBM Encoding
  ☆19Updated 3 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• vcerqueira / performance_estimation
  Performance estimation for time series forecasting tasks
  ☆39Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆77Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆123Updated 11 months ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 7 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• SeanPLeary / time-series-h2o-automl-example
  Time-series forecasting using H2O's AutoML example
  ☆48Updated 5 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 5 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated 4 months ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 7 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 5 years ago
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆94Updated last year