sagemanifolds / IntroToManifolds
Andrzej Chrzeszczyk's introduction to manifolds in SageMath
☆8Updated 2 years ago
Alternatives and similar repositories for IntroToManifolds:
Users that are interested in IntroToManifolds are comparing it to the libraries listed below
- ☆13Updated 2 years ago
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- Bayesian inference for a logistic regression model in various languages☆43Updated last year
- A Python module for (local) Poisson-Nijenhuis calculus on Poisson manifolds☆13Updated 5 months ago
- Convert CVXPY expressions to PyTorch expressions☆13Updated this week
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated this week
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated last year
- Libraries for Scientific Computing☆10Updated 6 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Details for the Science4Cast competition☆62Updated 2 years ago
- Causal and probabilistic reasoning with continuous time dynamical systems☆17Updated this week
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Toolbox for non-linear calibration modeling.☆24Updated 4 months ago
- SymPy based framework for optimized code generation for BSSN formulation of Einstein equation for heterogeneous platforms.☆10Updated 9 months ago
- Bibtex for various Python science and machine learning software☆32Updated 2 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year
- Graph Learning with JAX☆14Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Visualize neural networks using TikZ in Julia☆13Updated last month
- Differentiable Euler Characteristic Transform☆17Updated 9 months ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated last year
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated 9 months ago
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- ☆37Updated 3 years ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Dynamic programming algorithms for exact linear clustering in networks.☆15Updated last year
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago