Alternatives and similar repositories for fife:

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

• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• zulucomputer / MES_LSTM
  A Hybrid Method of Exponential Smoothing and Recurrent Neural Networks for Multivariate Time Series Forecasting
  ☆13Updated 2 years ago
• neuralprophet / neural_prophet_lightning
  ☆9Updated 3 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 4 years ago
• WojtekFulmyk / mlcausality
  Nonlinear Granger causality using machine learning techniques
  ☆19Updated last year
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated 11 months ago
• dbvis-ukon / ts-mule
  Local Interpretable Model-Agnostic Explanations For Time Series Forecast Models
  ☆19Updated 3 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• vcerqueira / vest-python
  ☆28Updated last year
• MichalOleszak / KnowledgeBank
  Resources and notes on programming, machine learning and data science
  ☆12Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated 4 months ago
• quantgirluk / twopiece
  📦 Python library providing Two-Piece distributions functionality. It covers the subfamilies: TP Scale, TP Shape, and Double TP.
  ☆12Updated 9 months ago
• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆16Updated 4 months ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• ClarkQTIM / A-Survey-of-Deep-Learning-Architectures-for-Algorithmic-Cryptocurrency-Trading
  This repository is for my master's project, A Survey of Deep Learning Architectures for Algorithmic Cryptocurrency Trading, delivered on …
  ☆9Updated 2 years ago
• QueensGambit / PGM-Causal-Reasoning
  Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship
  ☆9Updated 5 years ago
• hamrel-cxu / Ensemble-Regularized-Adaptive-Prediction-Set-ERAPS
  Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series
  ☆10Updated 2 years ago
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆28Updated 3 months ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 7 months ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆23Updated 3 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆55Updated 2 months ago