Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

[ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

Repository to hold the data and materials for the Wonderful Wednesday webinar series https://www.psiweb.org/sigs-special-interest-groups/visualisation/welcome-to-wonderful-wednesdays

Exploring Singapore's movie trends using data

:fr: Un clone en Python 3 de ParcoursSup, écrit à but didactique

Filebeat module for Squid access.log + Kibana dashboards. ELK 7.x

A Data Analytics Tool with flexible architecture to visualize and analyse data

Video frame interpolation using the Vimeo-90k dataset.

Landscape map viewpoint visualisation

open data frameworks, datasets and front-end for elections in northern ireland

In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted

No description provided.

Visualization Enabled Search Application

Investment Study - Data Cleaning, Data Preprocessing, Data Visualisation, Statistical Modeling

A visual representation of every unique pattern possible on a traditional Android 3x3 lock screen.

Find all my projects related to Covid-19.

This is the 68th Batch of Data Science

Analyses of trends in the NBA

The Imperial Visualisations component library for VueJS provides a standardized set of components for educators & students to create powerful interactive educational visualisations.

Visualisations of sorting algorithms

A clean, usable analysis to answer practical gameplay questions for PUBG beginners

Data Preprocessing and Exploratory Data Analysis project, CNN model

Paris AirBnB: What happened in 2015?

Analyses and advanced visualisations

EspressoIn Tools is a Python-based web application built using Streamlit, designed to visualise band structures of materials.

Visualises tensorflow dense and convolutional networks

An interactive web application for exploring and visualizing large graphs. It loads graphs serialized with Python’s pickle (NetworkX graphs), provides quick browsing of graph collections, and offers responsive visualization with cached computations for better performance.

Developing a targeted marketing strategy through exploratory analysis, customer profiling, and segmentation. Focuses on data wrangling, merging, grouping, and deriving variables to uncover actionable insights for personalized marketing efforts.

📊 Analyze Spotify track data to uncover insights on popularity and audio features through comprehensive exploratory data analysis and visualizations.

Cool Visualizations