code for Stein Neural Sampler
☆23Oct 11, 2018Updated 7 years ago
Alternatives and similar repositories for SteinNS
Users that are interested in SteinNS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 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 the paper 'Neural Variational Gradient Descent'. We perform nonparametric variational inference by transporting samples along a …☆12Jul 29, 2021Updated 4 years ago
- ☆10Apr 2, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- 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
- PyTorch implementation of NICE☆34Jan 30, 2019Updated 7 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- ☆15Feb 23, 2025Updated last year
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Jul 17, 2017Updated 8 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
- Implementation of a Recurrent Inference Machine (RIM) in PyTorch☆11Aug 8, 2018Updated 7 years ago
- Implementation of Stochastic Gradient Langevin Dynamics☆13Sep 29, 2018Updated 7 years ago
- Elements of Financial Risk Management in Python☆12Jan 10, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Mar 25, 2019Updated 7 years ago
- Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture. Training an MDM using GPT with this repo!☆35Jun 23, 2025Updated 9 months ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- slices in group meetings☆12Nov 29, 2020Updated 5 years ago
- The first comprehensive Lean 4 formalization of statistical learning theory, featuring Gaussian Lipschitz concentration and Dudley's entr…☆57Mar 5, 2026Updated 3 weeks ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆22Dec 30, 2021Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- 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.
- ☆14Nov 7, 2022Updated 3 years ago
- Tuning-Free Huber Regression☆15Mar 12, 2022Updated 4 years ago
- ☆33Feb 14, 2024Updated 2 years ago
- ☆16Oct 20, 2019Updated 6 years ago
- Bare-metal Rust Embedded on K230☆13Dec 18, 2024Updated last year
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Oct 19, 2017Updated 8 years ago
- ☆12Oct 20, 2020Updated 5 years ago
- A Modular Pytorch ViTGAN implementation☆12Mar 15, 2022Updated 4 years ago
- ☆17Aug 20, 2020Updated 5 years ago
- 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.
- For paper "Intrinsic Image Transformation Via Scale Space Decomposition"☆17Jan 3, 2019Updated 7 years ago
- Simplify the communication with Unitree Robots.☆16Nov 29, 2025Updated 3 months ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- ☆34Jan 18, 2024Updated 2 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Sep 25, 2019Updated 6 years ago
- this is a binpicking code base on PCL☆11May 25, 2018Updated 7 years ago