sphinxteam / DukeLecture2018
Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
☆16Updated 5 years ago
Alternatives and similar repositories for DukeLecture2018:
Users that are interested in DukeLecture2018 are comparing it to the libraries listed below
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated 2 weeks ago
- ☆112Updated 7 years ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- Simulation-based inference benchmark☆95Updated 3 weeks ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Sequential Neural Likelihood☆39Updated 5 years ago
- Implementation of approximate free-energy minimization in PyTorch☆18Updated 3 years ago
- Turning SymPy expressions into JAX functions☆44Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆18Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆100Updated last year
- INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker☆14Updated 5 years ago
- ☆44Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Conditional density estimation with neural networks☆30Updated last month
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Normalizing Flows using JAX☆82Updated last year
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆32Updated 4 years ago
- Exact OU processes with JAX☆42Updated 4 months ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Hierarchical variational models for physics.☆18Updated 4 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- Bayesian tensor network☆19Updated 5 years ago