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Enabling Breakthroughs in Life Sciences as CTO @ DeepMirror

Ryan Greenhalgh's Projects

3dinfomax icon 3dinfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

afmformats icon afmformats

Python library for reading common AFM file formats

autoballs icon autoballs

Python package for segmentation of axons and morphological analysis.

basenji icon basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

clearml icon clearml

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

crispron icon crispron

CRISPR Cas9 ontarget prediction software

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

graphormer icon graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.

hpbandster icon hpbandster

a distributed Hyperband implementation on Steroids

magpy icon magpy

Elemental feature lookup for materials infomatics

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

templates icon templates

Document templates for open-source projects (README, CONTRIBUTING, GitHub templates)

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