Alternatives and similar repositories for deepquantiles

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

• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 3 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• alan-turing-institute / bocpdms
  ☆34Updated 7 years ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 4 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 7 years ago
• leanderloew / ES-RNN-Pytorch
  This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition
  ☆12Updated 6 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 8 years ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆39Updated 9 months ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• NoRaincheck / TreeGrad
  ☆21Updated 6 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated 2 years ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆12Updated 7 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆86Updated this week
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆96Updated 6 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• Mikata-Project / FilterNet
  A PyTorch ensemble neural network model used for time series analysis.
  ☆60Updated 6 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆11Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago