chenlin9 / Autoregressive-Modeling-with-Distribution-SmoothingLinks
☆11Updated 4 years ago
Alternatives and similar repositories for Autoregressive-Modeling-with-Distribution-Smoothing
Users that are interested in Autoregressive-Modeling-with-Distribution-Smoothing are comparing it to the libraries listed below
Sorting:
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- ☆53Updated 4 years ago
- code for Stein Neural Sampler☆23Updated 7 years ago
- ☆63Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- ☆64Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆152Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆16Updated 4 years ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 9 months ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆57Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Some toy examples of score matching algorithms written in PyTorch☆53Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- ☆36Updated last week
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆64Updated 3 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆58Updated 7 months ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆67Updated 6 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago