Yu-Group / adaptive-wavelets

Related projects: ⓘ

• kimiandj / gsw
  ☆39Updated 4 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆42Updated 4 months ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆27Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆71Updated 2 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 3 years ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 4 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆21Updated 2 years ago
• ermongroup / alignflow
  ☆32Updated 4 years ago
• boschresearch / GMM_DAE
  ☆17Updated 2 years ago
• christopher-beckham / annotated-conditional-diffusion
  ☆10Updated 2 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 2 years ago
• j-zarka / SparseScatNet
  Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning
  ☆25Updated 3 years ago
• UW-Madison-Lee-Lab / score-wasserstein
  Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.
  ☆16Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆50Updated last year
• FrederikWarburg / LaplaceAE
  ☆31Updated 2 years ago
• btolooshams / crsae
  CRsAE (constrained recurrent sparse autoencoder)
  ☆12Updated last year
• connorlee77 / pytorch-mutual-information
  Mutual Information in Pytorch
  ☆106Updated last year
• KamilDeja / joint_diffusion
  ☆11Updated last year
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆19Updated 3 years ago
• vdeborto / cdsb
  ☆21Updated 2 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆61Updated 6 months ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 4 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 4 months ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆41Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆43Updated 3 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 3 years ago
• federicobergamin / Variational-Inference-with-Normalizing-Flows
  Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch
  ☆22Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 3 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆17Updated 3 years ago