Conditional Flow Matching using JAX
☆13Jun 22, 2023Updated 3 years ago
Alternatives and similar repositories for fmx
Users that are interested in fmx are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Finding the conditional distributions of a Gaussian Mixture Model☆13Nov 10, 2019Updated 6 years ago
- ☆13Nov 30, 2023Updated 2 years ago
- Score-based Diffusion models in JAX.☆19Dec 29, 2025Updated 6 months ago
- Package for data-driven and phenomenological gravitational waveform models☆12Jun 13, 2026Updated 2 weeks ago
- GWInferno: Gravitational-Wave Hierarchical Inference with NumPyro☆21Jun 23, 2026Updated last week
- 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.
- ☆235Jun 21, 2026Updated last week
- ☆13Nov 18, 2023Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆63May 6, 2026Updated last month
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 5 years ago
- ☆42Mar 7, 2026Updated 3 months ago
- differentiable (binned) likelihoods with JAX☆28Updated this week
- Automated C Code Generation for Use with the 'deSolve' and 'bvpSolve' Packages☆11Jun 8, 2026Updated 3 weeks ago
- ☆11Jul 2, 2024Updated last year
- CLI app to automate assignment of on-call shifts via constraint solving by use of the OR-tools library.☆11Mar 12, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An implementation of squared neural families in PyTorch☆14Oct 22, 2024Updated last year
- A Logstash neo4j output☆12Jun 16, 2026Updated 2 weeks ago
- Gravitational-wave data analysis tools in Jax☆80Aug 18, 2025Updated 10 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆51Jun 26, 2025Updated last year
- A short digital signal processing primer with example code snippets in Python☆12Jun 19, 2025Updated last year
- Real time surface reconstruction☆17Jun 18, 2018Updated 8 years ago
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Jun 2, 2021Updated 5 years ago
- Coverage tests to check the quality of your posterior estimators.☆34Aug 12, 2024Updated last year
- Knowledgebase— a collection of information for quantitative finance, insurance, mathematics and AI—This serves as a sprawling notebook of…☆18Jun 4, 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.
- Repository for the materials used during MLSS 2025 lectures☆21Aug 20, 2025Updated 10 months ago
- Hokuyo range sensor driver☆17Nov 9, 2017Updated 8 years ago
- Functions to compute conditional distributions of Gaussian mixture models.☆13May 10, 2025Updated last year
- ☆11Oct 16, 2023Updated 2 years ago
- Random Forests for Conditional Density Estimation☆44Jun 10, 2021Updated 5 years ago
- Differentiable Gravitational Waveforms with JAX☆73Jul 28, 2025Updated 11 months ago
- A Typst book template inspired by kaobook☆27May 5, 2026Updated last month
- ☆28Apr 2, 2026Updated 2 months ago
- Reconstructing shared causal drivers from noisy time series☆59Oct 17, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Dynamic modeling and parameter estimation in R☆23Jun 8, 2026Updated 3 weeks ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Jul 4, 2024Updated last year
- A dataloader, but for JAX☆20May 17, 2024Updated 2 years ago
- An implementation of a neural network training routine using derivative information in Pytorch.☆11Dec 19, 2020Updated 5 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- Adversarial Random Forests☆16May 24, 2026Updated last month
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 6 months ago