Alternatives and similar repositories for dcl

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

• sdascoli / odeformer
  ☆65Updated 11 months ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 2 years ago
• yulewang97 / ERDiff
  [NeurIPS'23 Spotlight] Official Repo for "Extraction and Recovery of Dpatio-temporal Structure in Latent Dynamics Alignment with Diffusio…
  ☆50Updated 5 months ago
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆14Updated 5 months ago
• distributed-information-bottleneck / distributed-information-bottleneck.github.io
  A repository for using the distributed information bottleneck to locate information in data
  ☆16Updated 11 months ago
• lindermanlab / SVAE-Revisited
  ☆10Updated last year
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆24Updated 3 years ago
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆232Updated 2 years ago
• mackelab / neural_timeseries_diffusion
  This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…
  ☆79Updated 3 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆443Updated 2 years ago
• HHalva / snica
  Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21
  ☆18Updated 6 months ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆35Updated 2 years ago
• glchau / TOTEM_for_EEG_code
  Code for using TOTEM on EEG data
  ☆12Updated 5 months ago
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆640Updated 3 months ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆210Updated last year
• Gothos / LRU-pytorch
  Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch
  ☆71Updated 3 months ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆47Updated 6 months ago
• raphaelreme / torch-kf
  Fast implementation of Kalman filtering with PyTorch
  ☆28Updated 2 months ago
• bw-park / ACSSM
  Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral
  ☆17Updated 5 months ago
• tsy935 / graphs4mer
  ☆58Updated 2 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆49Updated 7 months ago
• boschresearch / Continuous-Recurrent-Units
  ☆68Updated 2 years ago
• TariqAHassan / S4Torch
  PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
  ☆83Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated 4 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated last year
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆111Updated 2 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆401Updated 2 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆111Updated 6 months ago