☆54Jul 25, 2024Updated last year
Alternatives and similar repositories for GeneralizedEBM
Users that are interested in GeneralizedEBM 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
- ☆12Mar 7, 2022Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Jul 8, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Dec 6, 2020Updated 5 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Apr 8, 2022Updated 4 years ago
- ☆23Sep 24, 2021Updated 4 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
- ☆14Jun 7, 2023Updated 3 years ago
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆14Aug 20, 2024Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆436Sep 16, 2022Updated 3 years ago
- ☆12Oct 20, 2020Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆25Dec 30, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆22Mar 12, 2022Updated 4 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆15Nov 14, 2022Updated 3 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆152Nov 19, 2023Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 3 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆28Jul 9, 2021Updated 4 years ago
- OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/☆14Mar 4, 2018Updated 8 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆363Apr 25, 2023Updated 3 years ago
- ☆32Jan 7, 2024Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 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.
- ☆24Oct 26, 2021Updated 4 years ago
- 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 5 years ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 2 years ago
- Experiments of amortized stein variational gradient☆17Apr 30, 2017Updated 9 years ago
- ☆22Nov 18, 2025Updated 7 months ago
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆16Sep 21, 2021Updated 4 years ago
- A minimalist implementation of score-based diffusion model☆130Aug 18, 2021Updated 4 years ago
- Learning with latent language☆51Mar 28, 2021Updated 5 years ago
- Some toy examples of score matching algorithms written in PyTorch☆56Dec 21, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Feb 3, 2020Updated 6 years ago
- Random feature latent variable models in Python☆24Jul 23, 2023Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆33Jun 3, 2026Updated last month
- ☆13Mar 21, 2023Updated 3 years ago
- Compression schema for gradients of activations in backward pass☆45Jul 26, 2023Updated 2 years ago
- Elo ratings for time-series forecasting packages☆25Jan 5, 2022Updated 4 years ago
- ☆174Jul 30, 2024Updated last year