kxh001 / ITdiffusionLinks
Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
☆36Updated last year
Alternatives and similar repositories for ITdiffusion
Users that are interested in ITdiffusion are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆38Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- ☆63Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆55Updated 11 months ago
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆64Updated 2 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆59Updated last year
- Multiscale de-noising score matching☆20Updated 4 years ago
- ☆24Updated 3 years ago
- Representation Learning with Diffusion Models☆32Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆88Updated 7 months ago
- Generative Equilibrium Transformer☆23Updated last year
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆26Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆94Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 11 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆59Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆180Updated 7 months ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆90Updated 4 years ago
- [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"☆83Updated last year