https://github.com/animesh/embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
https://github.com/animesh/easymicroplot
A easy R script plot for Microbiome analysis
https://github.com/animesh/domino
Network-based module discovery algorithm with high rate of empirically-validated term calls
https://github.com/animesh/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
https://github.com/animesh/deepqmc
Deep learning quantum Monte Carlo for electrons in real space
https://github.com/arup-group/cookiecutter-pypackage
Cookiecutter template for a City Modelling Lab Python package
https://github.com/arup-group/elara
Command line utility for processing MATSim events output files.
https://github.com/arup-group/cadtools-external-licence
This is the licence agreement for external release of Arup CADtools products
https://github.com/arup-group/conda-recipes
Recipes to create conda packages for use by the City Modelling Lab
https://github.com/arup-group/yolov5-1
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
https://github.com/arup-group/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more