Alternatives and similar repositories for add-thin

Users that are interested in add-thin are comparing it to the libraries listed below

• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• mbilos / neural-flows-experiments
  Experiments for Neural Flows paper
  ☆99Updated 3 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆61Updated 3 months ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• Benjamin-Walker / log-neural-cdes
  Code for "Log Neural Controlled Differential Equations" (ICML 2024) and "Structured Linear CDEs" (NeurIPS 2025, Spotlight)
  ☆23Updated last month
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 7 months ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆39Updated 3 years ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• Rose-STL-Lab / dyffusion
  [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
  ☆222Updated 3 weeks ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆44Updated 11 months ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆60Updated last year
• yutong-xia / CausalST_Papers
  📚 A collection of awesome Causality in ST data papers.
  ☆36Updated 2 months ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆29Updated 7 months ago
• automl / Mamba4Cast
  Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based model…
  ☆38Updated last year
• thudzj / NeuralEigenFunction
  ☆17Updated 3 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 5 years ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆17Updated 2 years ago
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆15Updated 8 months ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆28Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• marc-h-lambert / W-VI
  The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…
  ☆14Updated 2 years ago
• psanch21 / causal-flows
  ☆51Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆27Updated 2 years ago