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Name: Ke LI
Type: User
Company: University of Exeter
Twitter: keli_1985
Location: North Park Road, Exeter, UK, EX4 4RN
Blog: https://colalab.ai/
Name: Ke LI
Type: User
Company: University of Exeter
Twitter: keli_1985
Location: North Park Road, Exeter, UK, EX4 4RN
Blog: https://colalab.ai/
Open-source implementation of Google Vizier for hyper parameters tuning
Jupyter notebooks associated with the Algorithms for Optimization textbook
Allan Lab website
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Creating presentation slides by using Beamer in LaTeX.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.
A curated list of Meta-Learning resources/papers.
Awesome Open-ended AI
A curated list of reinforcement learning with human feedback resources (continually updated)
Bayesian Data Analysis course at Aalto
CodeXGLUE
Lightweight, useful implementation of conformal prediction on real data.
Some simple examples for showing how does conjugate gradient method work on the system of linear equations. Blog post: https://medium.com/p/7f16cbae18a3
This is a latex template of my academic CV.
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Must-read papers on graph neural networks (GNN)
Hugo documentation theme as simple as plain book
This project is about interactive evolutionary multi-objective optimisation.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
jMetal: a framework for multi-objective optimization with metaheuristics
This project is a new knee point identification method for posteriori decision-making.
Useful tips for setting up Mac OSX
Listing of papers about machine learning for proteins.
Machine learning resources
Matplotlib 3.1 cheat sheet.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Natural Gradient Boosting for Probabilistic Prediction
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.