ronaldiscool / VAETutorialLinks
☆17Updated 5 years ago
Alternatives and similar repositories for VAETutorial
Users that are interested in VAETutorial are comparing it to the libraries listed below
Sorting:
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- ☆30Updated 4 years ago
- ☆29Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- ☆68Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- ☆64Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- ☆54Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Deep convolutional gaussian processes.☆80Updated 6 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- ☆42Updated 6 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Convex potential flows☆84Updated 3 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆48Updated 3 years ago