Alternatives and similar repositories for probabilistic-forecasts-attacks

Users that are interested in probabilistic-forecasts-attacks are comparing it to the libraries listed below

• networkslab / rnn_flow
  ☆23Updated 3 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆26Updated 5 years ago
• felixykliu / NAOMI
  ☆52Updated 5 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆42Updated 6 months ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆94Updated 2 months ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 2 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 4 years ago
• DAMO-DI-ML / KDD2022-Tutorial-Time-Series
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆32Updated last year
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆37Updated 3 years ago
• facebookresearch / SingleModelUncertainty
  Learning error bars for neural network predictions
  ☆70Updated 5 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 3 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated 2 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated 2 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 6 months ago
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆29Updated 8 months ago
• sjblim / rnf-ijcnn-2020
  Recurrent Neural Filters for Time Series Prediction
  ☆24Updated 5 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆61Updated 3 years ago
• ioanabica / Invariant-Causal-Imitation-Learning
  Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar
  ☆27Updated 3 years ago