Free-form flows are a generative model training a pair of neural networks via maximum likelihood
☆52Jun 26, 2025Updated last year
Alternatives and similar repositories for FFF
Users that are interested in FFF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Implementation of the paper "Variational Control for Guidance in Diffusion Models" accepted at ICML'25☆20Dec 5, 2025Updated 10 months ago
- [AAAI 2025] Does VLM Classification Benefit from LLM Description Semantics?☆26Aug 5, 2025Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆70Mar 11, 2024Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Dec 21, 2023Updated 2 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Dec 19, 2025Updated 10 months 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.
- Conditional Flow Matching using JAX☆13Jun 22, 2023Updated 3 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Easy to use density estimation tools.☆14Updated this week
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆18Jul 25, 2024Updated 2 years ago
- Implementation of the MuonClip optimizer in PyTorch/JAX based on the Kimi K2 technical report☆10Jul 24, 2025Updated last year
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications☆13Jun 3, 2022Updated 4 years ago
- Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM☆10Feb 23, 2022Updated 4 years ago
- [CVPR 2026] Probabilistic Precipitation Nowcasting with Rectified Flow Transformers☆25Jun 1, 2026Updated 4 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆246Updated this week
- ☆12Jan 9, 2024Updated 2 years ago
- Efficient random sampling via linear interpolation.☆18Jul 27, 2026Updated 3 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆60Jul 4, 2025Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Official Pytorch implementation for "Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters" (NeurIPS 2023)☆10Mar 5, 2024Updated 2 years ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆31Oct 11, 2022Updated 4 years ago
- Learning ReLU INRs with B-spline wavelets.☆14Jun 5, 2024Updated 2 years ago
- Minimal (unofficial) implementation of the flow map matching method.☆16Jul 9, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Investigation of biases on the parameters of GW sources in LISA and the Einstein Telescope from confusion noise of other resolved or unre…☆10Aug 19, 2021Updated 5 years ago
- ☆28Jul 28, 2023Updated 3 years ago
- ☆16May 30, 2023Updated 3 years ago
- End-to-end deep learning pipeline for gravitational-wave signal detection☆12Updated this week
- [ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching☆260Oct 17, 2025Updated last year
- Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods☆13Feb 11, 2021Updated 5 years ago
- ☆25Oct 15, 2024Updated 2 years ago
- ☆13Sep 13, 2023Updated 3 years ago
- ☆13Jul 25, 2023Updated 3 years ago
- 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.
- Normalizing flows in PyTorch☆467Mar 10, 2026Updated 7 months ago
- ☆13Oct 15, 2023Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆29Nov 5, 2023Updated 2 years ago
- A matplotlib style sheet to help me spend less time editing figures for my manuscripts for Phys. Rev. D.☆33May 19, 2025Updated last year
- ☆13Apr 30, 2026Updated 6 months ago
- [ICLR 2026] Adapting Self-Supervised Representations as a Latent Space for Efficient Generation☆62Apr 24, 2026Updated 6 months ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆31Jan 22, 2024Updated 2 years ago