cfinlay / ffjord-rnodeLinks
Regularized Neural ODEs (RNODE)
☆83Updated 4 years ago
Alternatives and similar repositories for ffjord-rnode
Users that are interested in ffjord-rnode are comparing it to the libraries listed below
Sorting:
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Convex potential flows☆84Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆48Updated 2 years ago
- ☆68Updated 3 years ago
- Masked Autoregressive Flow☆218Updated last year
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆58Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- ☆181Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Code for Neural Spline Flows paper☆282Updated last month
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆108Updated 5 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 2 months ago