Petar Veličković (PetarV-)

PetarV-

Geek Repo

Company:Google DeepMind / University of Cambridge

Location:Cambridge, UK

Home Page:petar-v.com

Twitter:@PetarV_93

Github PK Tool:Github PK Tool


Organizations
grlearning
grlplus
mgcsweek
mila-iqia
RLGM
Team-Echo

Petar Veličković's starred repositories

Ordered-Neurons

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

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PlotNeuralNet

Latex code for making neural networks diagrams

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TheLatentTranscriptome

Towards the Latent Transcriptome

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.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

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IntelligentNavigationOfTextBasedGames

Code for my Part II individual project.

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kmnist

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

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graph_nets

Build Graph Nets in Tensorflow

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holodeck

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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umap

Uniform Manifold Approximation and Projection

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TextWorld-Coin-Collector

Coin collector game in Microsoft TextWorld, and a simple RL agent solving it.

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MS-DOS

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

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TextWorld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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Graph-Reading-Group

Weekly reading group on Graphs at Mila

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DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

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graphsage-simple

Simple reference implementation of GraphSAGE.

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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detecting-scientific-claim

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

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DeepInf

DeepInf: Social Influence Prediction with Deep Learning

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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mila-paper-webpage

Webpage template for MILA-affiliated papers

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attention-learn-to-route

Attention based model for learning to solve different routing problems

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pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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dlbook_notation

LaTeX files for the Deep Learning book notation

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