Alternatives and similar repositories for KerasQuantileModel

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

• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• yicjia / DeepQuantreg
  Deep Learning for Quantile Regression under Right Censoring
  ☆28Updated 3 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆98Updated 2 years ago
• firmai / tsgan
  Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
  ☆121Updated 3 years ago
• d3sm0 / ntsa
  Neural Time Series Analysis
  ☆14Updated 2 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• junwang23 / deepdirtycodes
  Experimental and exercising codes
  ☆22Updated 6 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆91Updated 5 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆237Updated 3 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆118Updated 6 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 4 years ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 5 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 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…
  ☆96Updated 4 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆96Updated 5 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆113Updated 6 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆105Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆63Updated 8 years ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆95Updated 4 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 8 months ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago