Flow-matching algorithms in JAX
☆119Aug 12, 2024Updated last year
Alternatives and similar repositories for jax-flow
Users that are interested in jax-flow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Dec 16, 2024Updated last year
- Implementation of Diffusion Transformer (DiT) in JAX☆320Jun 11, 2024Updated 2 years ago
- ☆239Jun 21, 2026Updated last month
- ☆12Dec 13, 2023Updated 2 years ago
- Minimal Transformer base in JAX. A single backbone for language modelling, diffusion, classification, etc...☆16May 28, 2025Updated last year
- 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.
- Graph neural networks in JAX.☆67Jun 18, 2024Updated 2 years ago
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆133Oct 18, 2024Updated last year
- A functional training loops library for JAX☆88Feb 13, 2024Updated 2 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 8 months ago
- Implementation of various equivariant models in JAX☆18Apr 12, 2024Updated 2 years ago
- Stochastic trace estimation using JAX☆20Jun 29, 2026Updated 3 weeks ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆140Jul 24, 2025Updated last year
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Dec 20, 2023Updated 2 years ago
- An experiment: emcee implemented in JAX☆28Jul 1, 2022Updated 4 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 to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆14May 23, 2024Updated 2 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆43Mar 1, 2025Updated last year
- E(n) Equivariant GNN in jax☆14Aug 31, 2023Updated 2 years ago
- ☆304Jul 20, 2026Updated last week
- Simulation-based inference in JAX☆52Jul 4, 2026Updated 3 weeks ago
- Fast Inference for GW Astronomy, Research and Observations☆20Jun 22, 2026Updated last month
- DiT (training + flow matching) in Jax☆12Jan 5, 2025Updated last year
- Stainless neural networks in JAX☆36Jun 13, 2026Updated last month
- Differentiable and accelerated wavelet transform on the sphere with JAX☆26May 27, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Bijections & normalizing flows with JAX/NNX☆23Jun 30, 2026Updated 3 weeks ago
- Minimal yet performant LLM examples in pure JAX☆269Jul 4, 2026Updated 3 weeks ago
- ☆29Jan 8, 2026Updated 6 months ago
- Diffusion models in PyTorch☆134Jul 17, 2026Updated last week
- Inference Combinators in JAX☆53May 17, 2025Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆14Jun 24, 2023Updated 3 years ago
- Neural Networks for JAX☆84Sep 24, 2024Updated last year
- A simple library for scaling up JAX programs☆148Nov 4, 2025Updated 8 months ago
- A collection of reusable, high-performance, well-documented, thorough-tested layers and models in Jax☆23Jun 8, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆36Nov 22, 2024Updated last year
- Minimal implementation of scalable rectified flow transformers, based on SD3's approach☆641Jul 1, 2024Updated 2 years ago
- Official PyTorch implementation of "EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders"☆14Sep 20, 2024Updated last year
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆59Jul 4, 2025Updated last year
- A summary of related works about flow matching, stochastic interpolants☆691Apr 12, 2026Updated 3 months ago
- This is a port of Mistral-7B model in JAX☆34Jul 1, 2024Updated 2 years ago