waith Goto Github PK
Type: User
Bio: work in energy industry.
Location: Australia, Brisbane
Type: User
Bio: work in energy industry.
Location: Australia, Brisbane
Azure Data Platform End-to-End
Applied Data Science for Credit Risk
As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.
Code like a pro!
python script to scrap AEMO data
AI-Crash-Course, published by Packt
Source code and presentation for my talk at Brisbane Global AI Bootcamp 2018
Codes related to activities on AV including articles, hackathons and discussions.
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
NZ’s most authoritative and open digital basemap service for LINZ and the public.
Blazor WebAssembly with Redux patern using .NET 5 preview and Fluxor
Compiled and pretty version of labs
Repo for demo code and examples
A repository of my Coursera latex code and notes
This project introduces Causal AI and how it can drive business value.
Machine Learning algorithms coded from scratch
Lightweight, useful implementation of conformal prediction on real data.
Conformal Prediction - A Practical Guide with MAPIE
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
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.