joaquimcampos / DeepSplinesLinks
Learning Activation Functions in Deep (Spline) Neural Networks
☆28Updated 2 years ago
Alternatives and similar repositories for DeepSplines
Users that are interested in DeepSplines are comparing it to the libraries listed below
Sorting:
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- Functional models and algorithms for sparse signal processing☆95Updated 2 years ago
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆38Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Optimisation on Diffeomorphisms☆12Updated 9 months ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆103Updated 5 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- ☆48Updated 2 years ago
- L1-regularized least squares with PyTorch☆71Updated 2 years ago
- Learning for computational imaging system made simple.☆65Updated 4 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Implementation for Proximal Neural Networks.☆11Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Modular Optimisation tools for solving inverse problems☆27Updated 4 months ago
- A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.☆239Updated 11 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated 2 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 3 months ago
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 4 months ago
- ☆19Updated 5 years ago