plessl / latex-goodiesLinks
A collection of LaTeX related stuff that I think is worth sharing
☆34Updated 3 years ago
Alternatives and similar repositories for latex-goodies
Users that are interested in latex-goodies are comparing it to the libraries listed below
Sorting:
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- The Latex version of Mike Morrison's "better poster" template☆111Updated 2 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Updated 11 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Upstream optimisation for downstream inference☆69Updated last month
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Python/numba package for evaluating Wigner D matrices and spin-weighted spherical harmonics☆55Updated 3 months ago
- CHomP -- Computation Homology Project software☆47Updated last year
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 6 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Machine learning–based inference toolkit for particle physics☆87Updated 9 months ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- code for experiments in Grosse and Salakhutdinov, 2015.☆12Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆16Updated 5 years ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated 2 months ago
- ☆80Updated 3 years ago