GithubHelp home page GithubHelp logo

Hello there!

I am a PhD student at the University of Cambridge (edit: thesis defended and looking for a job!). I work on deep learning with graph-structured data, mostly within biomedical contexts but also in many others! I like thinking about,and working with, complex and dynamic systems at various scales.

  • I am currently doing things with multi-omics data, relational deep learning, and networks for work/research. For fun, I am currently studying generative modelling and multi-agent systems.

  • šŸŒ± Iā€™m currently working on PyRelational, a one-stop shop for constructing active learning pipelines.

    • PyRelationAL supports:
      • Construction of complex active learning pipelines
      • Development of novel acquisition functions / strategies / batching methods
      • Works with all your favourite ML frameworks and none as well
      • Interfacing with other AL packages

  • I also work in a much less frequent manner on:

  • šŸ“« How to reach me:

Paul Scherer's Projects

awe icon awe

Compute graph embeddings via Anonymous Walk Embeddings

cell2location icon cell2location

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

ctdne icon ctdne

Implementation of the CTDNE algorithm.

deep_learning_nlp icon deep_learning_nlp

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

geo2dr icon geo2dr

Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

gnn-c2l icon gnn-c2l

Source code associated with "Spatio-relational inductive biases for spatial cell type deconvolution"

grakel icon grakel

A scikit-learn compatible library for graph kernels

graph2vec_tf icon graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

grusdata icon grusdata

Many snippets and mini projects in Data Science

img2graph icon img2graph

Python tool to change 2D images into graphs.

ipc-graph-data icon ipc-graph-data

IPC: A Graph Data Set Compiled from International Planning Competitions

label_diffusion icon label_diffusion

Python implementation of label diffusion algorithm for transductive node labelling. Based on Zhou et. al. "Learning with Local and Global Consistency"

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.