Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
☆76Sep 4, 2017Updated 8 years ago
Alternatives and similar repositories for KerasQuantileModel
Users that are interested in KerasQuantileModel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow implementation of deep quantile regression☆75Sep 3, 2022Updated 3 years ago
- Quantile regression neural networks☆19Dec 2, 2023Updated 2 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆94Apr 9, 2020Updated 6 years ago
- QRNN (Quantile Regression Neural Network) Keras version☆25Dec 10, 2020Updated 5 years ago
- Confidence and prediction intervals for feedforward NNs and RNNs☆27May 23, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines☆10Oct 11, 2021Updated 4 years ago
- Deep Continuous Quantile Regression and other experiments.☆13Feb 24, 2020Updated 6 years ago
- Conformalized Quantile Regression☆307Feb 2, 2026Updated 2 months ago
- Bayesian Deep Learning Library☆14Oct 27, 2023Updated 2 years ago
- Path Integral simulation with OpenCL bindings to Python☆12Jun 2, 2021Updated 4 years ago
- Monte Carlo simulation to option pricing in CUDA☆11Apr 29, 2017Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 6 years ago
- Transformer-based autoregressive varitional autoencoder☆12Feb 10, 2020Updated 6 years ago
- Deep joint mean and quantile regression for spatio-temporal problems☆16Feb 25, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆37Nov 15, 2022Updated 3 years ago
- Simple classifier to classify SVHN images, based on Keras with the Tensorflow backend.☆17Feb 26, 2018Updated 8 years ago
- NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'☆11Oct 28, 2022Updated 3 years ago
- Attempt to implement TimeNet (https://arxiv.org/abs/1706.08838) autoencoder for embedding time series☆20Feb 16, 2021Updated 5 years ago
- Multi-Quantile Recurrent Neural Network for Quantile Regression☆68Nov 20, 2020Updated 5 years ago
- Full Bayesian inference for neural networks using TensorFlow☆15Aug 19, 2021Updated 4 years ago
- A general framework for univariate time series forecasting.☆10Apr 18, 2024Updated 2 years ago
- PsychoPy code for experiment control, and Matlab analysis for the EEG data☆11Jan 13, 2014Updated 12 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Welcome to NeuCo-Bench, a benchmarking framework for evaluating compressed embeddings on downstream tasks.☆25Feb 24, 2026Updated last month
- Geographically Weighted Artificial Neural Network☆29Dec 19, 2025Updated 3 months ago
- Roll model for trading strategy to C++ or FPGA via Matlab tool☆10Sep 11, 2014Updated 11 years ago
- Source Code for Data Abstraction & Problem Solving with C++: Walls and Mirrors☆13Jun 13, 2022Updated 3 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆13Jul 2, 2024Updated last year
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago
- A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE☆11Dec 31, 2016Updated 9 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Repository for in class material for Data Bootcamp☆14May 18, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆56Oct 9, 2018Updated 7 years ago
- 爬取新浪财经网站中的个股新闻，例如（http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=sz000001 ）页面中的新闻信息。☆19Mar 12, 2018Updated 8 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆42Dec 8, 2022Updated 3 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆73Feb 12, 2020Updated 6 years ago
- The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.☆13Mar 2, 2023Updated 3 years ago
- Bayesian Multivariate GARCH☆18Oct 31, 2024Updated last year
- ☆17Dec 18, 2018Updated 7 years ago