le-big-mac Goto Github PK
Name: Charles London
Type: User
Bio: DPhil student in ML theory, Oxford
Name: Charles London
Type: User
Bio: DPhil student in ML theory, Oxford
Automator (Mac) script to combine several PDFs into one file
A bus departure board exercise
NMA Computational Neuroscience course
Implementing the Denoising Diffusion Probabilistic Model in Flax
a toolbox for computing with monoidal categories
Testing different complexity measures as objective functions for HPO
Reference implementation of Mistral AI 7B v0.1 model.
LaTeX for Part II dissertation (project at https://github.com/le-big-mac/Semi-Supervised_Models)
Kolmogorov Arnold Networks
Cleaned up code for reproducing our paper "The Quantization Model of Neural Scaling"
Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
PyTorch implementations of deep semi-supervised models
Variational continual learning of a conditional diffusion model to generate MNIST. Based on 'Conditional Diffusion MNIST'.
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.