rubenohana

cmb_hmc

HMC tests for CMB analysis

step-back

Deep Learning Optimization Experiments in Pytorch

the_well

A 15TB Collection of Physics Simulation Datasets

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Gibbs-Diffusion

Code of the paper "Listening to the Noise: Blind Denoising with Gibbs Diffusion"

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

optical_reservoir_computing

Reservoir Computing using Optical Processing Units of LightOn

PAC-Bayesian_Sliced-Wasserstein

This is the code for reproducing the experiments of the paper "Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances"

Reservoir-computing-kernels

rubenohana.github.io

rubenohana/Gibbs-Diffusion

Code of the paper "Listening to the Noise: Blind Denoising with Gibbs Diffusion"

rubenohana/Reservoir-computing-kernels

rubenohana/optical_reservoir_computing

Reservoir Computing using Optical Processing Units of LightOn

rubenohana/PAC-Bayesian_Sliced-Wasserstein

This is the code for reproducing the experiments of the paper "Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances"

rubenohana/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

rubenohana/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

rubenohana/rubenohana.github.io