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Hi there

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I am an outstanding fourth-year MEng Computer Science and Artificial Intelligence student at the University of Southampton. I was the recipient of the Netcraft Prize during my first academic year as I ranked in the top 10 computer science cohort at the University of Southampton. I was granted the DAAD RISE Germany Scholarship the following year and the ECS Undergraduate Research Scholarship during my third academic year to conduct research on AI at the Mainz University of Applied Sciences and the University of Southampton, respectively.

I strongly believe that AI will be the next step in human evolution, and as such, I would like to contribute to this cause. However, if we really want to build a machine on the verge of human-level intelligence, we need to ditch current statistical and data-driven learning paradigm in favour of a causal-based approach.

Alberto Tamajo's Projects

craig icon craig

This repository implements the CRAIG coreset selection procedure described in "Coresets for Data-efficient Training of Machine Learning Models" and "Towards Sustainable Learning: Coresets for Data-efficient Deep Learning"

happy icon happy

The Happy parser generator for Haskell

imagenet1k-coarse-classes icon imagenet1k-coarse-classes

This repository organizes the Imagnet1k dataset into 10 coarse classes, where each class consists of semantically similar image categories.

intelligent-systems icon intelligent-systems

:school: University of Southampton - Intelligent Systems (COMP2208) - Courseworks and Notes - 2020/2021

ivy icon ivy

The Unified Machine Learning Framework

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

shrinking-unit icon shrinking-unit

Shrinking unit: a graph convolution-based unit for CNN-like 3D point cloud feature extractors

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