Javier Carnerero Cano's repositories
extended-kalman-filter-for-object-tracking-in-sensor-networks
Application of the Extended Kalman Filter (EKF) in sensor networks, through its implementation in the problem of object tracking.
machine-learning-classifiers-dimensionality-reduction-and-applications-in-satellite-imagery
Performance evaluation of different classification and dimensionality reduction strategies, and applications in the classification of the crop type of a set of pixels in a multiband spectral image.
deep-learning-with-pytorch---exercises
Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs) exercises in PyTorch.
javiccano.github.io
📝 My personal website. Powered by the Academic theme for Hugo.
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
adversarial-robustness-toolbox
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
coding-interview-university
A complete computer science study plan to become a software engineer.
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
gaussian-mixture-models-for-speaker-identification
Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).
gaussian-process-regression-for-energy-generation-prediction
Prediction of the net hourly generated energy of a Combined Cycle Power Plant using Gaussian Process Regression (GPR).
HatefulUsersTwitter
Characterization and detection of hateful users on Twitter.
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
Malware-Classification-using-Deep-Learning
Using deep learning technique to classify malware based on behaviors data
microsoft-malware-classification-challenge
Malware Detection and Classification Using Machine Learning
ML4all
Introductory Notebooks on Machine Learning topics.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
selenium
A browser automation framework and ecosystem.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc.
topic-modeling-lda-and-svms-for-wikipedia-articles-classification
Topic Modeling, Support Vector Machines (SVMs) and Latent Dirichlet Allocation (LDA) for Wikipedia Articles Classification.