dbasso98 / ASD2023Links
☆9Updated last year
Alternatives and similar repositories for ASD2023
Users that are interested in ASD2023 are comparing it to the libraries listed below
Sorting:
- Agent models implemented with Pyro☆11Updated last year
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- Scientific algorithms implemented on top of the x-stack (xtensor, xsimd ...)☆9Updated 6 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- 🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses☆9Updated last week
- Repository for the 2020 AI2S Julia course☆8Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- A simple Python package for deep learning using forward automatic differentiation based on JAX.☆14Updated 2 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Convolutions and more as einsum for PyTorch☆16Updated last year
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- MCMC methods for neural networks☆10Updated last year
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- ☆14Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 6 years ago
- ☆12Updated 4 years ago
- Bayesian optimization of discrete sequences☆21Updated 3 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- ☆16Updated 2 years ago
- Differentiable programming on quantum circuits with Flux☆19Updated 5 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Updated 5 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago