FernandoDeMeer
PhD Student at the University of Zurich. Working on unstructured financial data.
UZH/ZHAWZurich, Switzerland.
Pinned Repositories
dmgan_release
Disconnected Manifold Learning for Generative Adversarial Networks.
fdemeer_portfolio
FernandoDeMeer
Personal README
GraLMatch
Hierarchical-SigCWGAN
Implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation: https://doi.org/10.3905/jfds.2022.1.109
Keras-GAN
Keras implementations of Generative Adversarial Networks.
llama
Inference code for LLaMA models
Mitigating-Overfitting-Experiment
Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
RL_Optimal_Execution
SwissTextSDG
FernandoDeMeer's Repositories
FernandoDeMeer/Mitigating-Overfitting-Experiment
Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
FernandoDeMeer/RL_Optimal_Execution
FernandoDeMeer/Hierarchical-SigCWGAN
Implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation: https://doi.org/10.3905/jfds.2022.1.109
FernandoDeMeer/Keras-GAN
Keras implementations of Generative Adversarial Networks.
FernandoDeMeer/dmgan_release
Disconnected Manifold Learning for Generative Adversarial Networks.
FernandoDeMeer/fdemeer_portfolio
FernandoDeMeer/FernandoDeMeer
Personal README
FernandoDeMeer/GraLMatch
FernandoDeMeer/llama
Inference code for LLaMA models