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victordibia

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Research Software Engineer. Interested in the intersection of Applied AI and HCI.

Funding Links: https://github.com/sponsors/victordibia

GitHub Sponsors Profile

I am quite interested in projects (and libraries) that integrate machine learning in solving problems. Some examples include:

Handtrack.js - A javascript library for prototyping realtime hand detection (bounding box), directly in the browser.
Handtrack.js - A Usable Library for Question Answering on Large Datasets with BERT
Anomagram - Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js.

Supporting these projects will help fund resources (time and server hosting costs where applicable) towards improving these libraries.

Featured Works

victordibia/handtrack.js

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Language: JavaScript - Stars: 2884
victordibia/handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

Language: Python - Stars: 1658
victordibia/neuralqa

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

Language: JavaScript - Stars: 233
victordibia/anomagram

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Language: JavaScript - Stars: 186
victordibia/data2vis

Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

Language: Python - Stars: 151
victordibia/neuraldreams

Visual Exploration of Representations Learned by Convolutional Neural Networks

Language: JavaScript - Stars: 1
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