jswu18 / distribution-discrepanciesLinks
Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
☆15Updated last year
Alternatives and similar repositories for distribution-discrepancies
Users that are interested in distribution-discrepancies are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆171Updated 5 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆74Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- A python/pytorch package for invertible neural networks☆65Updated 2 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆179Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆89Updated last year
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆206Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 3 years ago
- Neural Tangent Kernel Papers☆115Updated 7 months ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆229Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆55Updated 2 years ago
- The official PyTorch implementation for NCSNv2 (NeurIPS 2020)☆310Updated 4 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆147Updated 3 years ago
- Deep Generative Learning via Schrödinger Bridge☆24Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 5 months ago
- Official PyTorch implementation of Diffusive Gibbs Sampler (DiGS), proposed in the paper Diffusive Gibbs Sampling (published at ICML 2024…☆10Updated 11 months ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- ☆167Updated last year
- ☆41Updated 5 years ago
- Some toy examples of score matching algorithms written in PyTorch☆52Updated 3 years ago
- Mutual Information in Pytorch☆112Updated last year
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- Code repository for Particle Denoising Diffusion Sampler☆14Updated last year
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆36Updated last year