☆37Oct 20, 2020Updated 5 years ago
Alternatives and similar repositories for latent-space-EBM-prior
Users that are interested in latent-space-EBM-prior are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Jul 6, 2021Updated 4 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- ☆17Mar 2, 2023Updated 3 years ago
- Code for the paper "Molecule Design by Latent Space Energy-based Modeling and Gradual Distribution Shifting" in UAI 2023☆15Nov 15, 2023Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Mar 2, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆14Mar 11, 2023Updated 3 years ago
- Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)☆15Nov 19, 2024Updated last year
- ☆17Jun 4, 2021Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- 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
- ☆24Apr 7, 2021Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Π Model from “Temporal Ensembling for Semi-Supervised Learning” (ICLR 2017) with TensorFlow.☆16Dec 9, 2017Updated 8 years ago
- ☆24May 1, 2025Updated 11 months ago
- ☆54Mar 17, 2021Updated 5 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- ☆12May 12, 2023Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Apr 8, 2022Updated 4 years ago
- rho_VAE: an autoregressive parametrization of the VAE encoder☆16Sep 17, 2019Updated 6 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆365Apr 25, 2023Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- Pretraining summarization models using a corpus of nonsense☆13Sep 28, 2021Updated 4 years ago
- ☆17Jun 23, 2023Updated 2 years ago
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- Some toy examples of score matching algorithms written in PyTorch☆56Dec 21, 2021Updated 4 years ago
- ☆11Feb 14, 2022Updated 4 years ago
- ☆11Mar 28, 2017Updated 9 years ago
- [Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.☆51Dec 23, 2022Updated 3 years ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Feb 21, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Jan 30, 2020Updated 6 years ago
- Tutorial on deep generative models with experiments on MNIST☆11Nov 7, 2018Updated 7 years ago
- Implementation of Paper Deep Coupled ISTA Network for Multi-modal Image Super-Resolution☆11Sep 17, 2019Updated 6 years ago
- SDK for TEE AI Stick (includes model training script, inference library, examples)☆27Feb 15, 2019Updated 7 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- Lipschitz Lifelong RL☆11Nov 6, 2020Updated 5 years ago
- [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling☆67Mar 1, 2026Updated last month