Antonio Stanziola's Projects
Web interface for browsing, search and filtering recent arxiv submissions
me
Me
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
JAX - A curated list of resources https://github.com/google/jax
my jabref bibliography
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
CUDA official sample codes
My CV
Unofficial implementation of the Diff-PAT paper by Fushimi et al. in JAX
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.
An unofficial implementation of the Fourier Neural Operator in Flax
Interoperating between (Deep) Reiforcement Learning libraries
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Linear uncertainty propagation using JAX transformations
Implementation of histogram matching and specification algorithms.
Simple MATLAB package with tests/docs/CI/coverage
Use Jupyter Notebook in mkdocs
:alarm_clock: Conference deadlines on Machine Learning and Ultrasound (and other ones I fancy)
A quicker, cleaner way to get started blogging with Hydejack.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Multiple dispatch in Python
Hacky mkdocs documentation for plum-dispatch
Simulate electronic circuit using Python and the Ngspice / Xyce simulators