clear-nus / DGflowLinks
Pytorch implementation of DGflow (ICLR 2021).
☆17Updated 4 years ago
Alternatives and similar repositories for DGflow
Users that are interested in DGflow are comparing it to the libraries listed below
Sorting:
- ☆51Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated 11 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆149Updated last year
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ☆61Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆37Updated 8 months ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆51Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- ☆63Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆89Updated 4 years ago
- ☆31Updated 4 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆144Updated 3 years ago
- Neural Diffusion Processes☆81Updated 11 months ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Updated 3 years ago