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COMP3608-2020
Course repo for COMP3608SiNE
An implementation of Wang et al.'s Signed Network Embedding in Social Media in PyTorchCOMP3850-2018
A repo for material relating to the 2018 Intelligent Systems offeringCOMP3602-2019
COMP3608-2019
Code for COMP3608 - Intelligent SystemsMLIntroReadingList
Links to free books and resources for learning Machine LearningCostSensitiveLR
Cost Sensitive Logistic Regression (Based on the paper A Benefit Optimization approach to the Evaluation of Classification Algorithms)COMP3605-2021
Modelling-And-Sim-2021
signednet
A set of utilities built on top of networkx for working with signed networksUWIGoPiGo
A wrapper for Dexter Industries GoPiGo3 APICOMP2611-Autograder
Autograder for COMP2611COMP6925
Code for examples for COMP6925 - Applied Operations ResearchMachineLearningSessions
Advice
COMP3850-Notebook
A Jupyter Notebook containing the code for COMP3850COMP3950-2018
COMP6925-2021
Code and Slides for COMP6925 LabsCOMP6940-2023
COMP2602CodeExamples
Python socket programming examplesUWIGoPiGoProjects
Source code for the projects for the DCIT Boot Camp ported to GoPiGo APIv3CourseSuggestions
SkipgramSampling
A Python library for sampling skipgrams for word2vec-type representation learningSignedDegroot
COMP3950-2017
A repo containing Python code and notebooks for COMP3950PaperImplementations
Some implementations of some papersTrustingness-trustworthiness
An implementation of Roy et al.'s "Trustingness & trustworthiness: A pair of complementary trust measures in a social network" in Python 3.5LOLCODE
Starter code for LOLCODE parserfinal-year-v2
A repository containing the code for my final year projectreading-list
A Reading list for Computer ScientistsDemonstratorScheduler
Code for the demonstrator scheduling problemPoincareDiskEmbedding
An implementation of the paper Poincarรฉ Embeddings for Learning Hierarchical RepresentationsHyperbolcNNinPytorch
An implementation of Ganea et al.'s Hyperbolic Neural Networks in Pytorch instead of TensorFlowCOMP2611-2019
Semester 1 COMP2611 2019/2020Love Open Source and this site? Check out how you can help us