Pinned Repositories
CIFO_PROJECT_Breaking-CNNs-MNIST-Dataset_Oreo_Group
Breaking CNNs – MNIST Dataset_Oreo_Group: In this report it is going to be shown the effect of GA by creating adversarial examples. These images are going to be created using MNIST dataset. The test dataset is going to be evolved using the main operators of GA and the goal is to make CNN model classify images incorrectly.
DataVisualization
Project2
Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
NETWORK-TD-SOM-Master-thesis
We take on the challenge of combining spatialisation and ML. We propose a Network TD-SOM, which means Network and Self-organised maps of the topic documents. The Master’s theses dataset from NOVA IMS are used as an opportunity to evaluate the performance of Network TD-SOM. We exploit the results to design various kinds of spatialisation dedicated to different purposes. The Scrips, results, analysis, dataset and the my Master's theses are available.
Theses_bertopic
Thesis_vis
BC
Grupo de Business cases
Business-Case-
chat-intents
Clustering sentence embeddings to extract message intent
cs-video-courses
List of Computer Science courses with video lectures.
VMunhangane's Repositories
VMunhangane/dash-multi-page-app-demos
Minimal examples of multi-page apps using Dash Pages
VMunhangane/jira_immap_moz_test
VMunhangane/iae_dash_board
VMunhangane/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
VMunhangane/Project_Deep-Learning-Gender-Classification-
VMunhangane/simpsom
Python library for Self-Organizing Maps
VMunhangane/NETWORK-TD-SOM-Master-thesis
We take on the challenge of combining spatialisation and ML. We propose a Network TD-SOM, which means Network and Self-organised maps of the topic documents. The Master’s theses dataset from NOVA IMS are used as an opportunity to evaluate the performance of Network TD-SOM. We exploit the results to design various kinds of spatialisation dedicated to different purposes. The Scrips, results, analysis, dataset and the my Master's theses are available.
VMunhangane/CIFO_PROJECT_Breaking-CNNs-MNIST-Dataset_Oreo_Group
Breaking CNNs – MNIST Dataset_Oreo_Group: In this report it is going to be shown the effect of GA by creating adversarial examples. These images are going to be created using MNIST dataset. The test dataset is going to be evolved using the main operators of GA and the goal is to make CNN model classify images incorrectly.
VMunhangane/Thesis_vis
VMunhangane/Theses_bertopic
VMunhangane/cs-video-courses
List of Computer Science courses with video lectures.
VMunhangane/programas_promove
VMunhangane/Delton_programas
VMunhangane/chat-intents
Clustering sentence embeddings to extract message intent
VMunhangane/easy-scraping-tutorial
Simple but useful Python web scraping tutorial code.
VMunhangane/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
VMunhangane/DataVisualization
Project2
VMunhangane/NLPython
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
VMunhangane/Business-Case-
VMunhangane/BC
Grupo de Business cases
VMunhangane/Dash-by-Plotly
Interactive data analytics