Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
☆98Feb 26, 2026Updated 2 months ago
Alternatives and similar repositories for bml-course
Users that are interested in bml-course are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.☆27Apr 4, 2023Updated 3 years ago
- Deep Steganalysis training script☆13May 1, 2025Updated last year
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…☆15Feb 2, 2024Updated 2 years ago
- Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]☆15Jun 12, 2020Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Oct 30, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- simple simulations for testing weak lensing shear measurement☆13Apr 24, 2026Updated last week
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆13Dec 12, 2022Updated 3 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 5 years ago
- Attempt to create a boilerplate Python package structure up-to-date tools and workflows☆15Dec 17, 2022Updated 3 years ago
- Material for the CMU Quarks2Cosmos Conference Data Challenges☆14Aug 16, 2023Updated 2 years ago
- A python package for Weak Lensing Implicit Inference with Differentiable Simulator☆18Mar 23, 2026Updated last month
- JAX reimplementation and bindings for the NVIDIA cuDecomp library☆56Apr 20, 2026Updated 2 weeks ago
- ☆38Mar 12, 2026Updated last month
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆42Aug 25, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Sep 3, 2018Updated 7 years ago
- Implementation of Bayesian Sum-Product Networks☆13May 19, 2020Updated 5 years ago
- Don't just regulate gradients like in Muon, regulate the weights too☆32Jul 30, 2025Updated 9 months ago
- Data-driven wavefront-based PSF modelling framework.☆21Apr 28, 2026Updated last week
- c++ backed python optical raytracer☆27Apr 7, 2026Updated 3 weeks ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆44Oct 24, 2023Updated 2 years ago
- ☆19Feb 11, 2022Updated 4 years ago
- Lectures on Bayesian statistics and information theory☆32Mar 15, 2026Updated last month
- python interface to bnlearn and other probabilistic graphical model libraries☆10Mar 26, 2020Updated 6 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.
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆26Jul 9, 2023Updated 2 years ago
- A multiclass point clicker for matplotlib☆20Apr 6, 2026Updated 3 weeks ago
- JAX port of GalSim, for parallelized, GPU accelerated, and differentiable galaxy image simulations.☆33Updated this week
- Implementation of Bayesian PCA [Bishop][1999] And Bayesian Kernel PCA☆13Jan 13, 2021Updated 5 years ago
- Emergent property inference.☆11Jul 6, 2023Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Apr 22, 2021Updated 5 years ago
- ☆21May 29, 2025Updated 11 months ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- ☆16Nov 6, 2018Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- My GitHub blog☆14Mar 30, 2021Updated 5 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆76Dec 9, 2025Updated 4 months ago
- Coverage tests to check the quality of your posterior estimators.☆33Aug 12, 2024Updated last year
- Python toolbox for sampling Determinantal Point Processes☆239Aug 14, 2024Updated last year
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16May 12, 2018Updated 7 years ago
- Phenexplain source code☆14Oct 15, 2025Updated 6 months ago
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆36Mar 19, 2026Updated last month