Implementations of Normalizing Flows in Pytorch/Pyro
☆18Apr 20, 2020Updated 6 years ago
Alternatives and similar repositories for pyro-torch-normalizing-flows
Users that are interested in pyro-torch-normalizing-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 years ago
- Repository for FWIME-applications☆10Jul 9, 2022Updated 3 years ago
- Introductory course on Deep Learning for Ocean and Atmosphere Dynamics☆10Feb 25, 2026Updated 2 months ago
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆67Mar 24, 2025Updated last year
- Tools for spatial and temporal autocorrelation☆13Mar 12, 2022Updated 4 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.
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Sep 9, 2017Updated 8 years ago
- Tutorial Code for MLHEP pyprob☆18Jun 29, 2023Updated 2 years ago
- Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks☆13Dec 8, 2023Updated 2 years ago
- Implementation of the cluster dynamical mean-field theory☆10May 29, 2021Updated 4 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆16Jul 4, 2019Updated 6 years ago
- Modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed ILD☆13Aug 3, 2022Updated 3 years ago
- Experiment with diffusion models that you can run on your local jupyter instances☆66Oct 27, 2024Updated last year
- ☆12Apr 19, 2024Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 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.
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Oct 11, 2021Updated 4 years ago
- Repository for the Software and Computing for Applied Physics Project☆13Nov 18, 2022Updated 3 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Oct 7, 2019Updated 6 years ago
- Learning to Skip the Middle Layers of Transformers☆17Aug 7, 2025Updated 9 months ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Feb 24, 2020Updated 6 years ago
- ☆10Aug 26, 2022Updated 3 years ago
- Jupyter notebooks from our weekly (or so) hackathons☆11Dec 3, 2024Updated last year
- Summary of Paper Survey☆15Oct 16, 2019Updated 6 years ago
- Pytorch code for managing distributed training experiments.☆21Mar 22, 2020Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Symbolic (analytical) polyhedron projection by Fourier-Motzkin elimination using SymPy☆11Oct 17, 2019Updated 6 years ago
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- A library for bayesian variable selection☆31Jan 24, 2025Updated last year
- ☆11Apr 14, 2022Updated 4 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- JBEI Quantitative Metabolic Modeling library☆13Feb 7, 2020Updated 6 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Sep 9, 2017Updated 8 years ago
- 🏍️ - JAX-based framework to model biological systems☆17Apr 27, 2026Updated last week
- Data for and description of the ACIC 2023 data competition☆32Jun 9, 2023Updated 2 years ago
- 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.
- Adversarial Lipschitz Regularization☆10Jun 10, 2021Updated 4 years ago
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.☆23Dec 14, 2022Updated 3 years ago
- ☆16Feb 2, 2022Updated 4 years ago
- Code for the paper "Robust representations for image classification via counterfactual contrastive learning" (Medical Image Analysis) and…☆23Jun 16, 2025Updated 10 months ago
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Nov 19, 2021Updated 4 years ago