This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine

Last update: Jan 30, 2022

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Overview

LSHTM_RCS

This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine (LSHTM) in collaboration with the Royal College of Surgeons of England (RCS).

The aim of this project is to analyse the performacnce of the National Health Service (NHS) according to natioanl targets for cancer waiting times in the context of the COVID-19 pandemic. Particularly, how has this varied at national, commissioner, and provider levels and for different types of cancer?

Owner

Lukas Kopecky

Studying Health Data Science at the London School of Hygiene & Tropical Medicine. Enjoying machine learning and data analysis.

GitHub Repository

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This repository contains project created during the Data Challenge module at London School of Hygiene & Tropical Medicine

Related tags

Overview

LSHTM_RCS

Owner

Lukas Kopecky

CodeContests is a competitive programming dataset for machine-learning

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Release of the ConditionalQA dataset

Implementation of SwinTransformerV2 in TensorFlow.

This repository will be a summary and outlook on all our open, medical, AI advancements.

Convex optimization for fun and profit.

Nested Graph Neural Network (NGNN) is a general framework to improve a base GNN's expressive power and performance

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment

Decorator for PyMC3

A framework that constructs deep neural networks, autoencoders, logistic regressors, and linear networks

DRIFT is a tool for Diachronic Analysis of Scientific Literature.

tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series classification, regression and forecasting.

Open Source Differentiable Computer Vision Library for PyTorch

This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.

Combine Tacotron2 and Hifi GAN to generate speech from text

Nonnegative spatial factorization for multivariate count data

Emotion classification of online comments based on RNN

MPRNet-Cloud-removal: Progressive cloud removal

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation.