A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
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Updated
May 24, 2024 - Julia
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
[ICML'24] Official PyTorch Implementation of TimeX++
NPI Ephemeris Propagation Tool with Uncertainty Extrapolation
[ICLR'24] Official PyTorch Implementation of ContraLSP
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Single-Cell (Perturbation) Model Library
A Character-level Perturbation Generator based on probability distribution, density and diversity.
This is the enhanced version of Stadius Move on Thionville, the traffic info scraping bot for Citéline buses.
Personal notes explore various aspects of cosmology, with a particular focus on the dynamics of a homogeneous and isotropic universe.
Implementation of Papers on Adversarial Examples
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.
Fast Gradient Sign Method Adversarial Attack on Digit Recognition Model
Code and raw data for the implementation of "Correction of human forehead temperature variations measured by non-contact infrared thermometer". Adrian Shajkofci, 2020
Simulate the orbital motion for a CubeSat (HokieNav) as part of a senior design project with VT's ECE department sponsored by The Aerospace Corporation.
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
The MATLAB model here presented performs trajectory propagations based on the Constant Density Polyhedron algorithm. With this model, it is possible to compute trajectories in the proximity of astronomical bodies such as asteroids or comets. The algorithm also allows to compute ballistic trajectories.
Differentiable Optimizers with Perturbations in Pytorch
Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.
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