Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
☆117Oct 22, 2020Updated 5 years ago
Alternatives and similar repositories for SDE-Net
Users that are interested in SDE-Net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Keras implementation of SDE-Net (ICML 2020).☆16Sep 11, 2020Updated 5 years ago
- implementations sde-net☆14Dec 8, 2020Updated 5 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Nov 16, 2020Updated 5 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Feb 14, 2023Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆23Jul 24, 2023Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆61Feb 4, 2021Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- ☆15Nov 22, 2022Updated 3 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆13Mar 24, 2023Updated 3 years ago
- ☆50Oct 28, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆30Nov 26, 2022Updated 3 years ago
- Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting☆47Nov 8, 2023Updated 2 years ago
- EXIT : Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting☆14Oct 18, 2023Updated 2 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- [ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation …☆24Sep 8, 2023Updated 2 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆15May 19, 2022Updated 4 years ago
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆12Apr 13, 2024Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,591Updated this week
- Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"☆32Jun 20, 2023Updated 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. Zero configuration with optimized deployments.
- Implementation of "Neural Jump-Diffusion Temporal Point Processes" (ICML 2024 Spotlight)☆20Jul 18, 2025Updated last year
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆22Dec 1, 2023Updated 2 years ago
- Pytorch implementation of GRU-ODE-Bayes☆242May 26, 2022Updated 4 years ago
- Codebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'☆17Feb 12, 2025Updated 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…☆12Feb 15, 2021Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆718Oct 22, 2022Updated 3 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Jun 24, 2019Updated 7 years ago
- GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023☆64May 3, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)☆38Dec 14, 2023Updated 2 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Feb 4, 2019Updated 7 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆25Jan 25, 2020Updated 6 years ago
- Pseudospectral PDE solver☆14Jun 24, 2025Updated last year