This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
☆310Apr 15, 2026Updated 3 months ago
Alternatives and similar repositories for flowtorch
Users that are interested in flowtorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Normalizing flows in PyTorch☆1,020Dec 27, 2024Updated last year
- Awesome resources on normalizing flows.☆1,638Jul 31, 2026Updated last week
- Normalizing flows in PyTorch☆467Mar 10, 2026Updated 5 months ago
- PyTorch implementation of normalizing flow models☆956Aug 25, 2024Updated last year
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 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.
- A library that allows for inference on probabilistic models☆275Oct 18, 2023Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- code for "Residual Flows for Invertible Generative Modeling".☆275Sep 19, 2023Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆292Feb 1, 2021Updated 5 years ago
- Stochastic Normalizing Flows☆80Dec 9, 2021Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆917Jan 27, 2020Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆236Nov 13, 2020Updated 5 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.
- Discrete Normalizing Flows implemented in PyTorch☆116Oct 4, 2021Updated 4 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- ☆649Jul 30, 2026Updated last week
- Convex potential flows☆86Nov 19, 2021Updated 4 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆640Jul 12, 2021Updated 5 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆58Feb 22, 2021Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆184Aug 19, 2021Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,576May 2, 2024Updated 2 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated 11 months 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.
- Bayesian optimization of discrete sequences☆22Mar 27, 2022Updated 4 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆137Aug 21, 2024Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,083Jun 21, 2026Updated last month
- Normalizing Flows with a resampled base distribution☆49Sep 7, 2022Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,107Jul 29, 2026Updated last week
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- Code for Neural Spline Flows paper☆294Oct 19, 2025Updated 9 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,732Updated this week
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 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.
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆13Jun 12, 2024Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆615Jul 17, 2026Updated 3 weeks ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- ☆11Oct 16, 2023Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆206Apr 24, 2024Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆64May 6, 2026Updated 3 months ago