Materials of the Nordic Probabilistic AI School 2021.
☆94Jul 12, 2021Updated 5 years ago
Alternatives and similar repositories for probai-2021
Users that are interested in probai-2021 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Nov 9, 2021Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130May 14, 2020Updated 6 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Jun 2, 2021Updated 5 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Jul 15, 2019Updated 7 years ago
- Gene Expression Imputation with Generative Adversarial Imputation Nets☆13Mar 25, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A collection of commonly used datasets as benchmarks for density estimation☆23Dec 16, 2019Updated 6 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆42Jan 20, 2024Updated 2 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks☆18Apr 8, 2024Updated 2 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Apr 28, 2022Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Jun 20, 2021Updated 5 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆38Aug 25, 2023Updated 3 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Feb 6, 2024Updated 2 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.
- ☆15Dec 7, 2021Updated 4 years ago
- A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.☆37Jul 22, 2026Updated 2 months ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 5 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆19Jan 6, 2020Updated 6 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆55Apr 3, 2026Updated 6 months ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 4 years ago
- Code for the simulations in the neural Kalman filtering paper☆25Jul 13, 2021Updated 5 years ago
- Here you can find (just about) all of the diagrams I've ever made in LaTeX using TikZ (and Pgfplots).☆16Jan 21, 2020Updated 6 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Jan 26, 2026Updated 8 months 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.
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆16Sep 21, 2021Updated 5 years ago
- docker container for the deep learning book☆15Dec 19, 2019Updated 6 years ago
- ☆18Dec 6, 2020Updated 5 years ago
- ☆12Jul 6, 2022Updated 4 years ago
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆37Oct 3, 2025Updated last year
- ☆17Jun 4, 2021Updated 5 years ago
- ☆54Aug 22, 2023Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆35Apr 24, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Python package for analysing and visualising brain connectome data☆11May 16, 2024Updated 2 years ago
- ☆32Aug 22, 2020Updated 6 years ago
- 🤖 Machine Learning Summer School Guide☆3,032Updated this week
- A init/rc manager inspired by s6 and 66. Discontinued in favor of https://github.com/rinit-org/rinit☆18Mar 16, 2021Updated 5 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆402May 8, 2024Updated 2 years ago
- Layerwise Batch Entropy Regularization☆24Aug 3, 2022Updated 4 years ago
- TensorFlow Probability Tutorial☆38Oct 17, 2019Updated 6 years ago