Atcold / tex-Learning-TikZLinks
☆12Updated 11 months ago
Alternatives and similar repositories for tex-Learning-TikZ
Users that are interested in tex-Learning-TikZ are comparing it to the libraries listed below
Sorting:
- Implementation for Proximal Neural Networks.☆11Updated 4 years ago
- ☆28Updated 3 years ago
- ☆32Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆58Updated 2 years ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- ☆103Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for the article "Accelerated Forward-Backward Optimization using Deep Learning"☆12Updated 4 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆98Updated 5 years ago
- Convex potential flows☆84Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆46Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…