This is your work, valued

London, UK

Petar Veličković

Elite
@PetarV-

Senior Staff Research Scientist / Affiliated Lecturer

GAT. Graph Attention Networks (https://arxiv.org/abs/1710.10903)

3.5k

TikZ. Complete collection of my PGF/TikZ figures.

1.4k

DGI. Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

667

Algorithms. Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

665

facejack. your face has been hijacked

23

muxstep. An open-source C++ multiplex HMM library for making inferences on multiple data types

14

Simplex-TSP-Solver. Iterative exact solver of the Travelling Salesman Problem, taking advantage of the Simplex Algorithm (by methods of Dantzig, Fulkerson and Johnson)

12

X-CNN. Cross-modal convolutional neural networks

11

Machine-Learning. My personal machine learning algorithms repository, implemented in C++.

10

deepmersion. own your surroundings

8

gp. Simple C++ library for Gaussian process regression

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deep-lossy-fun. Accompanying demos for my TCES talk on loss function engineering

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pytorch-Deep-Learning. Deep Learning (with PyTorch)

4

HashCode2017. HC2017 Qualification Round: Team МЕТАШСА (Ranked 53rd)

4

awesome-LaTeX. Curated list of LaTeX awesomeness

3

awesome-algorithms. A curated list of awesome places to learn and/or practice algorithms.

3

telesign. Python

3

CSTII-Ariana. My final-year project for Part II of the Computer Science Tripos, as originally submitted.

3

Curriculum-Vitae. The latest version of my CV (with matching cover letter), powered by LaTeX and TikZ.

3

thesis. A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

2

CambridgeUK-Beamer. A beamer theme conforming to the University of Cambridge's official PowerPoint presentation style.

2

awesome-tikz. A curated list of awesome TikZ documentations, libraries and resources

2

HashCode2017Finals. HC2017 Finals: Team МЕТАШСА (Ranked 5th)

1

CSTIA-Ticks. My codes written for the assessed programming exercises ("ticks") in part IA of the Computer Science Tripos.

1

gnn-lspe. Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)

1

CSTIB-Ticks. My codes written for the assessed programming exercises ("ticks") in Part IB of the Computer Science Tripos.

1

advent-of-rust. My solutions to Advent of Code challenges, written in Rust.

1

awesome-competitive-programming. :gem: A curated list of awesome competitive programming / algorithm / data structure resources

1

graph_nets. Build Graph Nets in Tensorflow

1

L42-Starter-Pack. Python

1

n-hance-pls. Neural networks make your smartphone videos better... after you've filmed them

1

advent-of-kotlin. My solutions to Advent of Code 2019 challenges, written in Kotlin.

1

a-trip-down-lstm-lane. Textual generation using character LSTMs

1

viral. you're infected

1

jitter. A mixture model for representing a doubly-categorical set of discrepancy types

1

rdkit_containers. Containers for building and working with the RDKit

1