My personal website - https://www.coxy1989.com/
coxy1989 Goto Github PK
Name: Jamie Cox
Type: User
Company: Scarlet
Location: London
Name: Jamie Cox
Type: User
Company: Scarlet
Location: London
My personal website - https://www.coxy1989.com/
Numpy implementations of a handful of statistical learning algorithms.
My solutions to the assignments from Bloomberg's 'Foundations of Machine Learning' - *DISCONTINUED - see my ISL repo instead*
A caffe fork which adds CLR policies as described in the paper 'Cyclical Learning Rates for Training Neural Networks'
Run GPU caffe workloads in a container with nvidia-docker
MNIST handwritten digit classification with Clojure.
Pytorch implementation of the paper: 'Cyclical Learning Rates for Training Neural Networks'
My personal website
The fastai deep learning library, plus lessons and and tutorials
An exploratory data analysis, data pipeline and models for the kaggle contest: House Prices: Advanced Regression Techniques
Solutions to the labs and exercises in ISL.
My iTermPreferences
Jerkeroni
Scripts to setup my macbook tools
Generation of diagram and flowchart from text in a similar manner as markdown
Solution notebooks for Imperial College's Mathematics for Machine Learning Coursera.
My ML Sabattical
Solutions to the assignments from Andrew Ng's Machine Learning Coursera.
My neovim config
Javascript libraries packaged up with Google Closure externs
A Reagent Framework For Writing SPAs, in Clojurescript.
ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.
Character level language model trained on the British National Formulary (BNF).
Throw sound around
TensorFlow/Keras implementation of the paper: 'Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates'
Examples exercising the key TensorFlow abstractions
Keras/Tensorflow implementation of the decoder from the transformer as described in the paper: "Attention Is All You Need"
plugins
My .vimrc & .xvimrc
An exploratory data analysis, data pipeline and models for the kaggle contest: West Nile Virus Prediction
My XCode KeyBindings
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.