Alternatives and similar repositories for probabilistic-forecasts-attacks

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

• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆97Updated 5 months ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• networkslab / rnn_flow
  ☆23Updated 4 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
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• DAMO-DI-ML / KDD2022-Tutorial-Time-Series
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆33Updated last year
• felixykliu / NAOMI
  ☆52Updated 5 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 9 months ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆52Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• KurochkinAlexey / ConvRNN
  Pytorch implementation of Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction ht…
  ☆40Updated 6 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆76Updated 4 years ago
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆39Updated 4 years ago
• louisoutin / bert_timeseries
  Multivariate time series representation learning (using bert-like model adapted for TS)
  ☆16Updated 4 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated 11 months ago
• Daikon-Sun / AdjustAutocorrelation
  Adjusting for Autocorrelated Errors in Neural Networks for Time Series
  ☆59Updated 3 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 4 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 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
• 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…
  ☆75Updated 3 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆56Updated 2 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆114Updated 4 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆103Updated last year