Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
☆37Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for f-EBM
Users that are interested in f-EBM are comparing it to the libraries listed below
Sorting:
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Nov 22, 2022Updated 3 years ago
- ☆12Oct 20, 2020Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 4 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago
- Code accompanying the paper "Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels…☆13Jan 25, 2019Updated 7 years ago
- ☆13Nov 18, 2023Updated 2 years ago
- ☆24May 1, 2025Updated 10 months ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆22Nov 2, 2020Updated 5 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Nov 26, 2019Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- ☆42Jul 25, 2018Updated 7 years ago
- Deep Structured Energy Based Model☆11Jan 6, 2018Updated 8 years ago
- Pytorch implementation of neural processes and variants☆30Jul 25, 2024Updated last year
- ☆15Dec 3, 2024Updated last year
- ☆11Jun 12, 2021Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Mar 2, 2025Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆430Sep 16, 2022Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Sep 17, 2019Updated 6 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Oct 27, 2021Updated 4 years ago
- ☆15Sep 11, 2022Updated 3 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆36Nov 29, 2021Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 6 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆21Mar 12, 2022Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Mar 15, 2021Updated 4 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆363Apr 25, 2023Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Oct 26, 2020Updated 5 years ago
- code for Stein Neural Sampler☆23Oct 11, 2018Updated 7 years ago
- Implementation of Flow++ in PyTorch☆40Aug 23, 2019Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Jul 20, 2018Updated 7 years ago
- ☆20Mar 22, 2024Updated last year
- Pytorch implementation of the image transformer for unconditional image generation☆118Jul 25, 2024Updated last year