Alternatives and similar repositories for zigzag

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

• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆18Updated last year
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆72Updated 5 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆152Updated 2 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆51Updated 5 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆51Updated 3 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated last month
• achaman2 / truly_shift_invariant_cnns
  ☆69Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆22Updated 4 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆90Updated 5 years ago
• needylove / OrdinalEntropy
  The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
  ☆54Updated 2 years ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆106Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated 2 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆103Updated 3 months ago
• YangNaruto / latent-energy-transport
  ☆54Updated 4 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated 2 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆47Updated 3 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆201Updated 2 years ago
• psh01087 / Vid-ODE
  Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
  ☆62Updated 2 years ago
• raymondyeh07 / tv_layers_for_cv
  [CVPR2022] Total Variation Optimization Layers for Computer Vision
  ☆47Updated 2 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆80Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆37Updated 4 years ago
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆58Updated 2 years ago
• ZongyuGuo / Versatile-NP
  ☆16Updated 2 years ago
• mandt-lab / PSLD
  Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models
  ☆31Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆110Updated last week
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• fudan-zvg / PDS
  [ECCV 2022 & IJCV 2025] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
  ☆61Updated 10 months ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆210Updated 3 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago