Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models
☆11Apr 29, 2022Updated 4 years ago
Alternatives and similar repositories for ML_uncertainty_quantification
Users that are interested in ML_uncertainty_quantification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11May 27, 2022Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Dec 15, 2022Updated 3 years ago
- Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"☆15Dec 18, 2021Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- ☆22Nov 21, 2025Updated 11 months 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.
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.☆43May 26, 2022Updated 4 years ago
- Documentation for the Stan language and CmdStan☆43Updated this week
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆13Jul 13, 2023Updated 3 years ago
- ☆15Jan 10, 2021Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 6 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆72Feb 25, 2025Updated last year
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆45Oct 25, 2019Updated 7 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆69May 14, 2026Updated 5 months ago
- [ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"☆11Apr 26, 2024Updated 2 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.
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆95Nov 30, 2021Updated 4 years ago
- ☆12Sep 4, 2023Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated 2 years ago
- Pytorch implementation of the DWP with application to MRI segmentation☆10Jul 15, 2020Updated 6 years ago
- Integrate your project with the RStudio IDE's Connections Pane☆22Dec 15, 2020Updated 5 years ago
- AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, D…☆14Aug 13, 2019Updated 7 years ago
- orbital MCMC☆10Jun 17, 2021Updated 5 years ago
- 字节跳动短视频理解比赛，代码带详细注释☆18Apr 3, 2019Updated 7 years ago
- Message Passing Neural Networks for Molecule Property Prediction☆25May 16, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Identifying amino acids important to AlphaFold!☆11Oct 20, 2026Updated last week
- ☆18Oct 18, 2021Updated 5 years ago
- 利用图神经网络进行CTR预估☆15Nov 22, 2019Updated 6 years ago
- Julia Workshop @ University of Oulu, Finnland☆81May 2, 2021Updated 5 years ago
- ☆15Jun 2, 2021Updated 5 years ago
- ☆15Dec 15, 2020Updated 5 years ago
- Very simple and short implementation of gradient boosting in 18 lines of code☆10Sep 17, 2020Updated 6 years ago
- ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning☆11Jul 6, 2023Updated 3 years ago
- ☆22Nov 8, 2021Updated 4 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.
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20May 1, 2021Updated 5 years ago
- Python optimisation of atomistic ligand charges to maximize receptor binding affinity☆12Aug 3, 2020Updated 6 years ago
- Notebook for running Julia on Google Colab☆165May 24, 2022Updated 4 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 9 years ago
- This is a movie recommendation system with tensorflow. Dataset is MovieLens.☆20Aug 9, 2018Updated 8 years ago
- This project is to formalise the iPinYou RTB data into a standard format for further researches.☆24Mar 27, 2022Updated 4 years ago
- A Tiny Contribution Table Generator Based on ggplot2 https://shixiangwang.shinyapps.io/contribution☆12Nov 4, 2022Updated 3 years ago