Alternatives and similar repositories for ANT:

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

• EQTPartners / TSDE
  TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…
  ☆33Updated 5 months ago
• Hundredl / MG-TSD
  The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"
  ☆45Updated 10 months ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆27Updated 9 months ago
• daxin007 / ARMD
  [AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"
  ☆38Updated last month
• fbrad / DiffusionAE
  ☆27Updated last year
• Guan-t7 / myTLAE
  Community Implementation of *Temporal Latent Auto-Encoder* as described in [Temporal Latent Auto-Encoder: A Method for Probabilistic Mult…
  ☆15Updated 2 years ago
• ForestsKing / ChatTime
  PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [o…
  ☆35Updated last month
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆24Updated last year
• tongnie / C-LoRA
  CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting
  ☆14Updated 7 months ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆31Updated 2 years ago
• haochenglouis / RobustTSF
  [ICLR 2024] Official code of RobustTSF
  ☆18Updated 10 months ago
• thuml / TimeSiam
  ☆32Updated 7 months ago
• LMissher / TFMAE
  [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection
  ☆17Updated 5 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆76Updated 2 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 4 months ago
• tianzhou2011 / FiLM
  ☆98Updated 2 years ago
• MAGICS-LAB / STanHop
  [ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
  ☆16Updated last year
• real2fish / CSL
  ☆24Updated last year
• ClaudiaShu / DeformTime
  This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting…
  ☆22Updated 7 months ago
• alexzhou907 / ls4
  ☆18Updated last year
• andreacini / sparse-graph-learning
  Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)
  ☆15Updated last year
• zclzcl0223 / CMamba
  Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"
  ☆24Updated 2 weeks ago
• Hannibal046 / GridTST
  Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
  ☆14Updated 7 months ago
• PingChang818 / TDSTF
  ☆67Updated 11 months ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆82Updated last year
• MambaMixer / M2
  ☆45Updated 9 months ago
• cchallu / dghl
  ☆28Updated 3 years ago
• nzl5116190 / Basisformer
  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…
  ☆88Updated 2 months ago
• weifantt / DEPTS
  ☆42Updated 2 years ago
• JingzheShi / ScalingLawForTimeSeriesForecasting
  [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.
  ☆15Updated 2 months ago