Alternatives and similar repositories for Conditional-Normalizing-Flow:

Users that are interested in Conditional-Normalizing-Flow are comparing it to the libraries listed below

• yolu1055 / conditional-glow
  Conditional-Glow for Structured Prediction
  ☆27Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆27Updated 3 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆141Updated 5 years ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆82Updated 3 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 4 years ago
• GlassyWing / nvae
  An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
  ☆111Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆83Updated 5 months ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆148Updated last year
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated last year
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆97Updated 4 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆122Updated 3 years ago
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆123Updated 2 years ago
• ermongroup / alignflow
  ☆32Updated 5 years ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆136Updated 3 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆41Updated 5 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆80Updated last week
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆79Updated last year
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 9 months ago
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆55Updated last year
• fjxmlzn / InfoGAN-CR
  [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
  ☆41Updated 4 years ago