cvlab-epfl / zigzag

Related projects: ⓘ

• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆14Updated 2 months ago
• FrederikWarburg / LaplaceAE
  ☆31Updated 2 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆38Updated 4 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆46Updated last month
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆67Updated 4 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 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
  ☆33Updated 2 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated last year
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆109Updated last year
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆26Updated 7 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆71Updated last month
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆29Updated 3 months ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆42Updated 4 months ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆143Updated 10 months ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆131Updated last year
• ermongroup / alignflow
  ☆32Updated 4 years ago
• White-Link / gpm
  Official implementation of the paper "Unifying GANs and Score-Based Diffusion as Generative Particle Models", NeurIPS 2023
  ☆24Updated 9 months ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆16Updated 3 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆33Updated 6 months ago
• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆14Updated 2 years ago
• VProv / uncertainty_example
  ☆13Updated 3 years ago
• karrykkk / BayesDiff
  ☆11Updated 4 months ago
• LituRout / OptimalTransportModeling
  The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
  ☆54Updated 2 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆69Updated 4 months ago
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 2 years ago
• bmucsanyi / bud
  ☆15Updated 2 weeks ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 4 years ago
• smsharma / consistency-models
  Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
  ☆16Updated last year
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆98Updated 7 months ago
• CSCfi / pytorch-ddp-examples
  ☆36Updated 3 months ago