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simpac-2021-9

RL Reach is a platform for running reproducible reinforcement learning experiments.

simpac-2021-90

Mozart Programming System v2

simpac-2021-92

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

simpac-2021-94

Code used for analysis of tabular CDR3 T-Cell Receptor Sequencing Data. Includes functions for Jensen-Shannon Divergence, Clonality, CD4/CD8 sort disambiguation, and alloreactivity determination from matched unstimulated and stimulated samples, with adjustable sensitivity thresholds.

simpac-2021-95

Repository for SIMPAC speed/acceleration decoding

simpac-2021-96

A new GCN model for Point Cloud Analyse

simpac-2021-97

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

simpac-2021-98

Exploring the Representational Power of Graph Autoencoders

simpac-2022-1

The codes have been provided to support the article "Novel implicit-trust-network-based recommendation methodology", which has been published in Expert Systems With Applications. This algorithmic framework is abbreviated to ITNRM. It first generates implicit trust networks to find users' trustees or neighbors. And a novel recommendation methodology is implemented to find suitable items closed to the users' preferences. Finally, datasets, i.e., MovieLens, Ciao, and FilmTrust are used for experiments.

simpac-2022-10

CKI - Dark Kinase Knowledgebase App

simpac-2022-101

simpac-2022-104

[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)

simpac-2022-105

simpac-2022-106

CoBaseTRS, or Control Optimisation Baselines for Tidal Range Structures (TRS), contains six optimisation baselines for the real-time (and upper bound estimate) control of TRS.

simpac-2022-107

repository merging all three repositories into one

simpac-2022-108

simpac-2022-110

simpac-2022-111

rpackage for Iterative Hierarchical Clustering

simpac-2022-113

This repository is created as part of our collaborative research on development of an integrated LSTM framework for solving sequential data modeling problems.

simpac-2022-115

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

simpac-2022-116

A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants

simpac-2022-117

simpac-2022-118

simpac-2022-12

simpac-2022-120

Combined Concentrating Solar Power dynamic model

simpac-2022-122

A simple preprocessing method for Machine Learning

simpac-2022-123

Procedural generation of 3D maps with snappable meshes

simpac-2022-124

simpac-2022-125

Lattice_Karak

simpac-2022-128

SMIRK is an experimental pedestrian emergency breaking ADAS facilitating research on quality assurance of critical components that rely on machine learning.