seungjunlee96 / lightning-generative-modelsLinks
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
☆30Updated last year
Alternatives and similar repositories for lightning-generative-models
Users that are interested in lightning-generative-models are comparing it to the libraries listed below
Sorting:
- Code repository for Continuous Conditional Diffusion Model (CCDM)☆18Updated last month
- [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models☆71Updated last year
- A simple implementation of classifier-free guidance DDIM on MNIST☆33Updated 2 years ago
- Modular and intuitive Hypernetworks in Pytorch☆37Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆85Updated 5 months ago
- PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance☆32Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆74Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆171Updated 5 months ago
- A simple tutorial of Diffusion Probabilistic Models☆98Updated 8 months ago
- PyTorch implementation for DDPM & DDIM☆32Updated last year
- Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper☆34Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆100Updated last year
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆108Updated last year
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- a simple unofficial implementation of classifier-free diffusion guidance☆204Updated 2 years ago
- ☆14Updated 2 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆18Updated last year
- ☆40Updated 5 months ago
- Official implementation of the paper "Unifying GANs and Score-Based Diffusion as Generative Particle Models", NeurIPS 2023☆25Updated 7 months ago
- Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.☆21Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆206Updated last year
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆134Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆44Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆147Updated 3 years ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆58Updated last year
- Official PyTorch implementation of the paper: Flow Matching in Latent Space☆294Updated 6 months ago