Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
☆49Jul 8, 2020Updated 5 years ago
Alternatives and similar repositories for LSD
Users that are interested in LSD 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
- ☆10Apr 2, 2018Updated 8 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆39Jul 25, 2024Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆432Sep 16, 2022Updated 3 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 Stein Neural Sampler☆23Oct 11, 2018Updated 7 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆15Jul 6, 2021Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- ☆54Jul 25, 2024Updated last year
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆13Mar 11, 2023Updated 3 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75May 1, 2023Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆61Jul 4, 2023Updated 2 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
- Multiscale Score Matching Analysis☆11Jan 19, 2023Updated 3 years ago
- Deep direct likelihood knockoffs☆12Feb 2, 2021Updated 5 years ago
- ☆54Mar 17, 2021Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 7 years ago
- ☆18Mar 20, 2022Updated 4 years ago
- ☆33Aug 30, 2022Updated 3 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.
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Jun 10, 2021Updated 4 years ago
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆150Oct 18, 2024Updated last year
- ☆12Oct 20, 2020Updated 5 years ago
- ☆17Mar 2, 2023Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- Codebase for " Reducing Representation Drift in Online Continual Learning"☆14Jun 8, 2021Updated 4 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- ☆10Oct 22, 2024Updated last year
- ☆11Oct 8, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence☆18Sep 4, 2025Updated 7 months ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Apr 27, 2021Updated 5 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆153Dec 9, 2021Updated 4 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 5 years ago
- Clustering and Predictions with Multi-Task Gaussian Processes☆22Apr 25, 2026Updated last week
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022☆10Dec 8, 2022Updated 3 years ago