aaronwtr Goto Github PK
Type: User
Company: Queen Mary University of London
Bio: PhD student in AI and Drug Discovery
Twitter: aaron_wtr
Location: London, United Kingdom
Type: User
Company: Queen Mary University of London
Bio: PhD student in AI and Drug Discovery
Twitter: aaron_wtr
Location: London, United Kingdom
Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.
In this project, a working game of checkers is developed in Python, implementing a minimax AI and a reinforcement learning AI agent. The idea is that the RL agent can play against minimax to explore state space and learn best practices. After this initial training setup, we can utilize self learn to further optimize the performance of the RL agent.
This repository contains Python scripts accompanying my Bachelor thesis in Nanobiology. In this thesis, the validity of Geant4-DNA in simulating DNA damage foci is assessed with the help of experimental irradiated U2OS nuclei.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Geneius is a powerful command-line tool leveraging Anthropic AI's Claude API to help you search through scientific literature and extract evidence for disease-gene associations.
This repository accompanies my research into the interpretability of DNA Damage Repair Outcome Predictors (DROPs). By analyzing these models using interpretability methods, we hope to uncover what features specifically are driving the accuracy of these prediction models.
Solutions to Linear Algebra Done Right, by Sheldon Axler.
An aggregating portfolio tracker. This tracker will be able to fetch product id's and prices from DeGiro, Binance and StockX. Consequently, this data can be stored, for example in a .csv file for personal bookkeeping.
Send WhatsApp message at certain time and many other things.
A game theoretic approach to explain the output of any machine learning model.
Spectral Framework For AI Model Evaluation
The following scripts parses through your own playlist and extracts the most popular songs based on popularity data from Spotify and Genius. If you want to extract the 100 (or any other number) most popular tracks from your favorite playlist, this script can help you!
This is the repository for the variant impact predictor VarIpred.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.