https://github.com/astorfi/opencv-installation • Science 13%

https://github.com/astorfi/ml-workflow • Science 13%

https://github.com/astorfi/portfolio-notebooks • Science 13%

https://github.com/astorfi/attention-ocr • Science 10%

https://github.com/astorfi/adversarial-model-inversion • Science 23%

Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)

https://github.com/astrazeneca/awesome-drug-pair-scoring • Science 10%

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

https://github.com/astrazeneca/multimodal-python-course • Science 49%

The purpose of the code is to facilitate a comprehensive understanding of multimodal data science applications within medical domain. The code serves to support the delivery of a cutting-edge workshop designed to introduce researchers to the rapidly evolving field of multimodal data science

https://github.com/astrazeneca/qsuse • Science 13%

R library that provides an import mechanism like python to import local source files. It is not meant to replace library(), or doublecolon:: prefixing

https://github.com/astrazeneca/agpower • Science 26%

agpower: Recurrent event analysis planning using the Andersen-Gill model in R

https://github.com/astrazeneca/ibd-interpret • Science 26%

We trained high performing open source models on image scans of tissue biopsies to predict endoscopic categories in inflammatory bowel disease. These predictive models can help us better understand the disease pathology and represent a step towards automated clinical recruitment strategies.

https://github.com/astrazeneca/vecner • Science 13%

A library of tools for dictionary-based Named Entity Recognition (NER), based on word vector representations to expand dictionary terms.

https://github.com/astrazeneca/perfcam-dataset • Science 13%

Dataset for PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models

https://github.com/astrazeneca/inspectumours • Science 13%

This is a shiny tool to classify and analyse pre-clinical tumour data automatically.

https://github.com/astrazeneca/metabolic_classifier • Science 13%

https://github.com/astro-informatics/s2scat • Science 49%

Differentiable and GPU accelerated scattering covariance statistics on the sphere

https://github.com/astro-informatics/s2 • Science 10%

Functions on the sphere

https://github.com/astro-informatics/rcgan • Science 23%

A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

https://github.com/astro-informatics/bianchi2 • Science 10%

Simulating Bianchi induced temperature fluctuations in CMB maps when incorporating a cosmological constant

https://github.com/astro-informatics/stringgen • Science 36%

Scattering based cosmic string emulation

https://github.com/astro-informatics/leia • Science 26%