katalinic / sdflows
JAX exponential map normalising flows on sphere
☆17Updated 4 years ago
Alternatives and similar repositories for sdflows:
Users that are interested in sdflows are comparing it to the libraries listed below
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated last month
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- ☆33Updated 2 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Stochastic Normalizing Flows☆76Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- ☆22Updated 4 years ago
- ☆17Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 8 months ago
- Convex potential flows☆83Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- ☆15Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆52Updated 2 years ago
- ☆19Updated 3 years ago
- Normalizing Flows using JAX☆83Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Squared Non-monotonic Probabilistic Circuits☆22Updated 3 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- [ICLR 2022] Path integral sampler☆45Updated last year