Multivariate Gaussian distributions for Tensorflow.
☆23Jan 29, 2020Updated 6 years ago
Alternatives and similar repositories for tf_mvg
Users that are interested in tf_mvg are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Jun 30, 2021Updated 4 years ago
- ☆24Mar 31, 2021Updated 4 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- tf.keras implementations of deep texture recognition & fine-grained image classification models☆29Sep 13, 2019Updated 6 years ago
- ☆17Jun 18, 2024Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 6 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Nov 7, 2019Updated 6 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in…☆12Nov 17, 2021Updated 4 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36May 21, 2018Updated 7 years ago
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Reproducing the paper "The continuous Bernoulli: fixing a pervasive error in variational autoencoders" for the Reproducibility Challenge …☆12Jul 25, 2024Updated last year
- ☆17Mar 21, 2021Updated 5 years ago
- Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)☆13Jul 22, 2024Updated last year
- ☆11Oct 3, 2022Updated 3 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Sep 11, 2018Updated 7 years ago
- Implementation of Decision Stacks: Flexible RL via Modular Generative Models [NeurIPS 2023]☆12Jun 27, 2023Updated 2 years ago
- This is a standalone version of ASMO, a surrogate based single objective optimization algorithm.☆11Oct 6, 2018Updated 7 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆18Jun 25, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"☆15Apr 30, 2024Updated last year
- Counterfactual explanations for Reinforcement Learning agents on Atari☆12Apr 3, 2023Updated 2 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Feb 23, 2020Updated 6 years ago
- CVPR 2021 Oral Paper PatchGenCN☆11Oct 28, 2021Updated 4 years ago
- ☆18Mar 31, 2024Updated last year
- Bayesian Illumination is an accelerated generative model for optimization of small molecules.☆18Jun 17, 2025Updated 9 months ago
- [NeurIPS 2023] Official Implementation of "PaintSeg: Painting Pixels for Training-free Segmentation"☆14Dec 31, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- ☆49Oct 11, 2021Updated 4 years ago
- ☆13Jul 25, 2023Updated 2 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 2 years ago
- ☆10Apr 9, 2021Updated 4 years ago
- ☆13Apr 22, 2024Updated last year
- Official implementation for P2SAM (ACM MM 2024)☆14Dec 7, 2024Updated last year
- CoGS: Controllable Generation and Search from Sketch and Style☆13Mar 18, 2023Updated 3 years ago