This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
☆18Mar 25, 2023Updated 3 years ago
Alternatives and similar repositories for mc_dropout_tensorflow
Users that are interested in mc_dropout_tensorflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆74Feb 12, 2020Updated 6 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Library for doing both symbolic and numeric calculations for linear Structural Causal Models (SCM)☆14May 20, 2024Updated 2 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Mar 3, 2018Updated 8 years ago
- Causal Dynamic Network Modeling☆14Feb 21, 2019Updated 7 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.
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Jun 1, 2021Updated 5 years ago
- ☆13May 10, 2020Updated 6 years ago
- The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits fro…☆12Jul 11, 2018Updated 7 years ago
- Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.☆15Jun 22, 2017Updated 9 years ago
- An implementation of MMHC in python☆13Aug 26, 2021Updated 4 years ago
- Causal Effect Engine is a Golang package for causal inference☆18Feb 9, 2022Updated 4 years ago
- Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras☆14Dec 31, 2018Updated 7 years ago
- Basic autoencoder implementation with Keras.☆10Jul 25, 2018Updated 7 years ago
- Anomaly detection methods and implementation☆16Feb 28, 2020Updated 6 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.
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Sep 16, 2018Updated 7 years ago
- model uncertainty using mc dropout☆21Mar 1, 2019Updated 7 years ago
- pytorch implementation of Shrinkage loss in our ECCV paper 2018: Deep regression tracking with shrinkage loss☆17Sep 3, 2020Updated 5 years ago
- ☆12Jun 18, 2020Updated 6 years ago
- ☆10May 20, 2024Updated 2 years ago
- Causal Structure Learning and Network Analysis with Structural Equation Modeling.☆24Dec 18, 2025Updated 6 months ago
- 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)☆12May 17, 2020Updated 6 years ago
- Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras☆10Feb 7, 2021Updated 5 years ago
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Nov 19, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Basic midi synthesizer in Unity (C#)☆13Apr 12, 2020Updated 6 years ago
- Simple implementation of "Progressive Growing of GAN" on tensorflow 2.0☆11Jan 13, 2021Updated 5 years ago
- vgg16 implemention by pytorch & transfer learning☆18Oct 26, 2019Updated 6 years ago
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Aug 25, 2021Updated 4 years ago
- Variance Gamma distribution (Python): pdf, cdf, rand and fit.☆11Mar 8, 2018Updated 8 years ago
- Self Project on making Anime Face using DCGAN☆15Apr 13, 2019Updated 7 years ago
- The code base for paper "Conditional expectation with regularization for missing data imputation"☆11Apr 15, 2024Updated 2 years ago
- Chinese Restaurant Process Clustering in Julia and Python☆10Apr 2, 2019Updated 7 years ago
- Training word embeddings using hierarchical softmax with a semantic tree.☆18Sep 8, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆20May 4, 2020Updated 6 years ago
- dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting☆22Sep 10, 2020Updated 5 years ago
- Project code for stock index forecasting☆11Jan 4, 2021Updated 5 years ago
- Fastai community entry to 2020 Reproducibility Challenge☆17Oct 20, 2022Updated 3 years ago
- ☆16Aug 6, 2018Updated 7 years ago
- ☆31Jul 7, 2023Updated 2 years ago
- ☆16Apr 19, 2018Updated 8 years ago