mfinzi / residual-pathway-priorsView external linksLinks
☆22Dec 3, 2021Updated 4 years ago
Alternatives and similar repositories for residual-pathway-priors
Users that are interested in residual-pathway-priors are comparing it to the libraries listed below
Sorting:
- ☆14Dec 28, 2022Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Dec 28, 2021Updated 4 years ago
- ☆37Jul 1, 2020Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- A LinearOperator implementation for PyTorch☆18Jan 15, 2021Updated 5 years ago
- A library for programmatically generating equivariant layers through constraint solving☆280May 8, 2023Updated 2 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Jul 5, 2022Updated 3 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- An interactive visualization of convex duality (Fenchel conjugate)☆20Dec 2, 2020Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆33Jun 17, 2022Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Aug 23, 2021Updated 4 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Nov 28, 2022Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 3 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- Tools for visualizing and comparing data from vertebrate retinas☆14Jan 20, 2025Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69May 22, 2024Updated last year
- ☆34Sep 12, 2022Updated 3 years ago
- Simple Scalable Discrete Diffusion for text in PyTorch☆37Sep 27, 2024Updated last year
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆34Dec 9, 2019Updated 6 years ago
- Off the convex path☆68Feb 17, 2023Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- ☆13Jun 18, 2025Updated 7 months ago
- Code release for "Stochastic Optimal Control Matching"☆39Aug 14, 2024Updated last year
- Official PyTorch implementation of Spatial Dependency Networks.☆35Mar 17, 2021Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Mar 22, 2021Updated 4 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆45Jul 19, 2025Updated 6 months ago
- Graphical intuition to MOSFET square-law☆11Jan 5, 2021Updated 5 years ago
- ☆46Nov 8, 2024Updated last year
- Presentations of the advanced topics in optimization☆11Oct 30, 2019Updated 6 years ago
- Convex potential flows☆85Nov 19, 2021Updated 4 years ago
- "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025☆14Nov 25, 2025Updated 2 months ago
- Training for the Olympiad in Informatics, Liceo Scientifico Galilei, Trento, 2018/2019 and 2019/2020☆10Oct 14, 2025Updated 4 months ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Nov 18, 2022Updated 3 years ago