sphinxteam / DukeLecture2018Links
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
Sorting:
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆46Updated 2 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 5 years ago
- Simulation-based inference benchmark☆105Updated 9 months ago
- Normalizing Flows using JAX☆85Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆124Updated 7 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 10 months ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆54Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Numerical integration of Ito or Stratonovich SDEs☆168Updated 2 years ago
- ☆52Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Manifold Markov chain Monte Carlo methods in Python☆235Updated 2 weeks ago
- ☆19Updated 3 years ago
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 4 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- All things Monte Carlo, written in JAX.☆32Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- ☆22Updated 5 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Exact OU processes with JAX☆56Updated 7 months ago