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:
- 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
- Scientific algorithms implemented on top of the x-stack (xtensor, xsimd ...)☆9Updated 6 years ago
- Agent models implemented with Pyro☆11Updated last year
- Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing☆13Updated 2 years ago
- ☆14Updated 2 years ago
- A simple Python package for deep learning using forward automatic differentiation based on JAX.☆14Updated 2 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 6 years ago
- Convolutions and more as einsum for PyTorch☆16Updated last year
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.☆8Updated last month
- 🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses☆9Updated 2 weeks ago
- A data processing module implemented with numpy☆10Updated 2 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
- A cryptographically-secure pseudo-random number generator for JAX based on the 20 round ChaCha cipher.☆12Updated last year
- ☆28Updated 3 years ago
- Easily optimize generic performance metrics in differentiable learning.☆18Updated 5 years ago
- Estimate derivatives with finite differences☆17Updated 7 months ago
- lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.☆21Updated 9 months ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago
- ☆33Updated 4 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Alphazero on GPU thanks to CUDA.jl☆32Updated 3 years ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- ☆12Updated 4 years ago
- ☆16Updated 2 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago