shmh40/shmh40.github.io

Website

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shmh40/website_src

Hugo code for website

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shmh40/ai4er_causal_workshop

Materials for the AI4ER MRes Causal Inference workshop, January 2024.

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shmh40/detectreeRGB

Repository for tree crown delineation from RGB imagery, coupled with methods to delineate tree crowns from LiDAR data. Further scripts to analyse the mortality rates and carbon stocks of identified individual trees.

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shmh40/ace Fork of ai2cm/ace

AI2 Climate Emulator

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shmh40/generate_synthetic

Generating synthetic data for use in studies.

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shmh40/PySR Fork of MilesCranmer/PySR

High-Performance Symbolic Regression in Python and Julia

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shmh40/forecasto3

Code accompanying EDS paper EDS-2023-0016: 'Short-term forecasting of ozone air pollution across Europe with transformers'.

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shmh40/TOARDown

Python package to download chemical (e.g. ozone, NO2) and environmental (e.g. temperature from ERA5) data from the TOAR dataset for all stations in a particular country.

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shmh40/detectreeRGB_scivision

Repository for DetecTreeRGB integration with ATI's scivision

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shmh40/detectreeRGB-treecrown-scivision

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shmh40/ST-SSL Fork of Echo-Ji/ST-SSL

The codes of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".

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shmh40/ci_ftbat Fork of matheusfacure/python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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shmh40/climate-workshop23.github.io Fork of climate-workshop23/climate-workshop23.github.io

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shmh40/climate-learn Fork of aditya-grover/climate-learn

Source code for ClimateLearn

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shmh40/weather2vec-reproduce Fork of mauriciogtec/weather2vec-reproduce

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shmh40/overcast Fork of anndvision/overcast

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions

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shmh40/AtmoDist Fork of sehoffmann/AtmoDist

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shmh40/CoST Fork of salesforce/CoST

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

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shmh40/ts2vec Fork of yuezhihan/ts2vec

A universal time series representation learning framework

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shmh40/riemannian-score-sde Fork of oxcsml/riemannian-score-sde

Score-based generative models for compact manifolds

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shmh40/PAML Fork of JeanKaddour/PAML

Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).

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shmh40/pytorch-forecasting-adapt Fork of Seam8/pytorch-forecasting

Time series forecasting with PyTorch

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shmh40/visualise_toar

A repository using streamlit to build a web app to visualise and inspect TOAR ozone and NO$_2$ data across Europe.

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shmh40/adapt_streamlit_uber_poll Fork of streamlit/demo-uber-nyc-pickups

A Streamlit demo to interactively visualize Uber pickups in New York City - I am going to adapt this for air pollution data!

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shmh40/causal_methods_in_ES Fork of cch1999/Cambridge-AI-in-Drug-Discovery

Website for Causal Methods in Environmental Sciences Meeting

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shmh40/blocking_nao Fork of dmtw2/part_iii

Fork of Dan Winter's code used for the major analyses for his Part III project: 'How do synoptic scale meteorological phenomena affect air quality?'

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shmh40/causEM

A package to emulate climate models with causal models.

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shmh40/tigramite Fork of jakobrunge/tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

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shmh40/CCFCS-Machine-Learning-Workshop Fork of Ira-Shokar/CCFCS-Machine-Learning-Workshop

Cambridge Centre for Climate Science, March 2022: Machine learning workshop github repository

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shmh40/rse-course Fork of alan-turing-institute/rse-course

Materials for Turing's Research Software Engineering course

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shmh40/environmental-ai-book Fork of alan-turing-institute/environmental-ds-book

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shmh40/flood_risk_shipston Fork of ai4er-cdt/flood_risk_shipston

The purpose of this project is to investigate whether we can establish the effectiveness of natural flood management (NFM) interventions undertaken in the British town of Shipston-on-Stour during 2017 to 2020 from publicly available meteorological data and private data from the river gauge in Shipston.

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shmh40/gtc-exposure Fork of ai4er-cdt/gtc-exposure

Guided team challenge 2021: Exposure

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shmh40/ai4er-workshop-sql Fork of elkir/ai4er-workshop-sql

2021 SQL workshop

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shmh40/seb_paper Fork of James-Weber/seb_paper

drafting seb's paper on ML+BOXMOX

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