Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
☆432Sep 16, 2022Updated 3 years ago
Alternatives and similar repositories for JEM
Users that are interested in JEM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆64Feb 7, 2024Updated 2 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆365Apr 25, 2023Updated 2 years ago
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆13Mar 11, 2023Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75May 1, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Sep 17, 2019Updated 6 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Apr 8, 2022Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Mar 2, 2025Updated last year
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- ☆432Aug 28, 2021Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- ☆54Jul 25, 2024Updated last year
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆39Jul 25, 2024Updated last year
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆106Aug 14, 2020Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆775Feb 14, 2024Updated 2 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆274Sep 19, 2023Updated 2 years ago
- Energy-based models for atomic-resolution protein conformations☆102Mar 22, 2022Updated 4 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- ☆34Mar 13, 2022Updated 4 years ago
- ☆54Mar 17, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,380Mar 1, 2024Updated 2 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆389Jul 16, 2022Updated 3 years ago
- Prescribed Generative Adversarial Networks☆142Aug 3, 2020Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- ☆42May 31, 2019Updated 6 years ago
- Code release for the ICLR paper☆21Jun 13, 2018Updated 7 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Apr 27, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Aug 29, 2020Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆291Mar 28, 2023Updated 3 years ago
- Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.☆13Feb 4, 2023Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching☆27Aug 4, 2018Updated 7 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago