ig248 / deepquantiles

Related projects: ⓘ

• fastai / fastforest
  A forest that is fast
  ☆41Updated 5 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• alan-turing-institute / bocpdms
  ☆31Updated 5 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 2 years ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 3 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated last year
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆60Updated 8 months ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 4 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆59Updated 7 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆26Updated last year
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 5 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 6 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 3 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆77Updated 2 years ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆11Updated 6 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆13Updated 8 years ago
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆22Updated 8 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆60Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated 10 months ago
• TonyBagnall / py-hive-cote
  ☆18Updated this week
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆42Updated 7 years ago
• msangnier / qreg
  Data sparse and non-parametric quantile regression
  ☆10Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆35Updated 3 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• lovvge / Forecasting-Tutorials
  ☆22Updated 3 years ago
• BayerSe / l1qr
  Lasso Quantile Regression
  ☆27Updated 4 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago
• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆29Updated 6 years ago