Alternatives and similar repositories for ml-sk-project

Users that are interested in ml-sk-project are comparing it to the libraries listed below

• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆79Updated 2 years ago
• dmitri-carpov / deepar_evaluation
  ☆10Updated 5 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆65Updated 3 years ago
• AI4CTS / lightcts
  ☆39Updated last year
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆80Updated last year
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆119Updated 7 months ago
• alipay / RGSL
  ☆44Updated 2 years ago
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆41Updated last year
• DatrikIntelligence / D3A-TS-Denoising-Driven-Data-Augmentation-in-Time-Series
  This repository contains all the source code needed to reproduce the experiments or review the results obtained in the research paper "…
  ☆12Updated last year
• huawei-noah / BHT-ARIMA
  Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
  ☆107Updated 4 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆33Updated 4 years ago
• junwoopark92 / Self-Supervised-Contrastive-Forecsating
  "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…
  ☆79Updated last year
• PingChang818 / TDSTF
  ☆71Updated last year
• brunoklein99 / deepar
  An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
  ☆38Updated 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
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆60Updated last year
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• qianlima-lab / DiffShape
  This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…
  ☆35Updated last year
• 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
• LiamMaclean216 / Pytorch-Chatbot
  ☆18Updated 4 years ago
• Hundredl / MG-TSD
  The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"
  ☆54Updated last year
• xingyu617 / SimTS_Representation_Learning
  ☆49Updated 2 years ago
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆57Updated 2 months ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆43Updated 6 years ago
• zyplanet / TPGNN
  ☆29Updated last year