Alternatives and similar repositories for NeurIPS2021-traffic4cast

Users that are interested in NeurIPS2021-traffic4cast are comparing it to the libraries listed below

• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆82Updated 2 years ago
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• cgraber / cvpr_dNRI
  Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
  ☆61Updated 4 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆24Updated last year
• facebookresearch / neural_stpp
  Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…
  ☆107Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆48Updated 2 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆33Updated 3 years ago
• Rose-STL-Lab / ECCO
  ☆54Updated 4 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆100Updated 10 months ago
• alexmonti19 / dagnet
  PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
  ☆91Updated 3 weeks ago
• ekwebb / fNRI
  Factoried Neural Relational Inference for Multi-Interacting Systems
  ☆30Updated 6 years ago
• USC-Melady / ICLR2020-PADGN
  Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…
  ☆52Updated 5 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 4 years ago
• mas-dse-c6sander / DSE_Cohort2_Traffic_Capstone
  Cohort2 Traffic Analysis Capstone
  ☆23Updated 8 years ago
• corey-snyder / STREETS
  Code Repository for STREETS Dataset
  ☆37Updated 3 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆223Updated 3 years ago
• edouardelasalles / stnn
  Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
  ☆121Updated 6 years ago
• eth-sri / probabilistic-forecasts-attacks
  ☆29Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆44Updated last year
• tijsmaas / TrafficPrediction
  This repository combines recent works in deep learning spatio-temporal traffic prediction.
  ☆29Updated 5 years ago
• geoslegend / Deep-Learning-for-Spatio-temporal-Prediction
  ☆58Updated 7 years ago
• alextimans / traffic4cast-uncertainty
  Code repository accompanying the research paper "Uncertainty Quantification for Image-based Traffic Prediction across Cities"
  ☆12Updated 2 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆89Updated last year
• PKUAI26 / STGCN-IJCAI-18
  Spatio-Temporal Graph Convolutional Networks
  ☆111Updated 6 years ago
• Shifts-Project / shifts
  This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
  ☆238Updated 2 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
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• felixykliu / NAOMI
  ☆52Updated 6 years ago
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆90Updated 5 years ago
• tanwimallick / TL-DCRNN
  ☆42Updated 4 years ago