dhruvpatel108 / GANPriorsLinks
Official TensorFlow implementation of GAN-based priors for quantifying uncertainty.
☆13Updated 4 years ago
Alternatives and similar repositories for GANPriors
Users that are interested in GANPriors are comparing it to the libraries listed below
Sorting:
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆103Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆102Updated 5 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- ☆12Updated 3 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
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- ☆33Updated 3 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆65Updated last year
- Official repo for "Learning the geometry of wave-based imaging"☆12Updated 4 years ago
- ☆11Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆58Updated 5 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- Code For Unsupervised Adversarial Image Inpaiting paper☆11Updated 6 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Updated 2 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆115Updated 6 years ago
- ☆98Updated 6 years ago
- Implementation of physics informed neural networks with PyTorch☆20Updated 4 years ago
- MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution☆109Updated 4 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆62Updated 6 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Updated 5 years ago
- Preconditioned Conjugate Gradient in Pytorch☆141Updated last year
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆103Updated last month
- ☆20Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆348Updated 2 years ago
- ☆41Updated 7 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial exam…☆14Updated 5 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- ☆19Updated 2 years ago