fernandodelacalle

adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

fsilosSpeechToolbox

Implementation of all the feature extraction methods presented in my PhD thesis.

MI_Feature_Selection_ICIP_2013

Code for the paper: Mid-level feature set for specific event and anomaly detection in crowded scenes, ICIP 2013

miax-aws

miax-dash

miax-pd

miax-product

miax-python

ResNet-Kaldi-Tensorflow-ASR

Code for the paper: Deep Residual Networks with Auditory Inspired Features for Robust Speech Recognition.

yolo-darkflow-movidius

Darkflow Movidus integration for tiny yolo v2 object detection

fernandodelacalle/adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

fernandodelacalle/ResNet-Kaldi-Tensorflow-ASR

Code for the paper: Deep Residual Networks with Auditory Inspired Features for Robust Speech Recognition.

fernandodelacalle/miax-python

fernandodelacalle/yolo-darkflow-movidius

Darkflow Movidus integration for tiny yolo v2 object detection

fernandodelacalle/MI_Feature_Selection_ICIP_2013

Code for the paper: Mid-level feature set for specific event and anomaly detection in crowded scenes, ICIP 2013

fernandodelacalle/miax-product

fernandodelacalle/fsilosSpeechToolbox

Implementation of all the feature extraction methods presented in my PhD thesis.

fernandodelacalle/miax-aws

fernandodelacalle/miax-dash

fernandodelacalle/miax-pd

fernandodelacalle/miax-streamlit

fernandodelacalle/opt-carteras-ml-demo

fernandodelacalle/fernandodelacalle.github.io

fernandodelacalle/dash_steamlit_miax_12

fernandodelacalle/mfia_dash

fernandodelacalle/miax-action-test

fernandodelacalle/miax-dash-data-explorer

fernandodelacalle/miax-devops

fernandodelacalle/miax-sagemaker

fernandodelacalle/miax12_api

fernandodelacalle/miax_12_exe

Test project

fernandodelacalle/miax_lambda_example

fernandodelacalle/miax_mini_project_1

fernandodelacalle/ml-examples-dia

fernandodelacalle/Simple-GAN-Tensorflow