👇 See some of my projects below! 👇
jaearly Goto Github PK
Name: Joe Early
Type: User
Company: Alan Turing Institute
Bio: Doctoral Student - Explainable AI
Twitter: JosephAEarly
Location: London, United Kingdom
Blog: www.jearly.co.uk
Name: Joe Early
Type: User
Company: Alan Turing Institute
Bio: Doctoral Student - Explainable AI
Twitter: JosephAEarly
Location: London, United Kingdom
Blog: www.jearly.co.uk
👇 See some of my projects below! 👇
A curated list of reinforcement learning with human feedback resources (continually updated)
A backend library for multiple instance learning implemented in PyTorch.
COMP3204/COMP6223 Computer Vision (Part II Lecture Materials)
A repository of all my solutions to coding competitions.
Supercharge Your Model Training
Deep Neuroevolution
A toolkit for developing and comparing reinforcement learning algorithms.
🔥 JavaScript Library for HTML5 canvas based heatmaps
A guide of how to interact with the Kaggle API via GitHub actions.
A Python library that adds Latex functionality to the Texttable package.
Code for the paper "Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning".
Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".
Multiple Instance Learning Animations with Manim.
Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".
Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
Tutorial mod that uses the Obsidian API.
Animator for Minecraft that runs in Minecraft.
An online deep learning image style interpolator.
A hyperparameter optimization framework
Latex code for making Multiple Instance Learning (MIL) neural networks diagrams
python implementation of catch22
Python implementation of GLN in different frameworks
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Compute FID scores with PyTorch.
My solutions to the exercises in the second edition (2018) of Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.
A Data Streaming Library for Efficient Neural Network Training
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.