waith

waith

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Location:Australia, Brisbane

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waith's repositories

conformal_classification

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).

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conformal-risk

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

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NEMOSIS

NEMOSIS: NEM Open-source information service

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energy-market-deep-learning

Experiments in using deep learning to model competition in liberalised electricity markets.

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R-demo

Using R and Python in a Streamlit app

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The-Book-of-Trading-Strategies

Source Codes for the Book of Trading Strategies

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kaggle-solutions

πŸ… Collection of Kaggle Solutions and Ideas πŸ…

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sas-select

Web based search facility for products on the Stoma Appliance Schedule

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Data-science

Collection of useful data science topics along with code and articles

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reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

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epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

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l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

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queensland-ai-fastai-course-resources

Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.

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pydbgen

Random dataframe and database table generator

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ubuntu-wsl2-systemd-script

Script to enable systemd support on current Ubuntu WSL2 images [Unsupported, no longer updated]

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basemaps

NZ’s most authoritative and open digital basemap service for LINZ and the public.

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Advanced-Python

Code like a pro!

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getting-up-to-speed-with-dask

Gentle introduction to Dask

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BlazorWithRedux

Blazor WebAssembly with Redux patern using .NET 5 preview and Fluxor

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quantile_ensemble_talk

Ensemble forecasts with fable for NYCR conference

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ElectricityPricePrediction

This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled a basic battery function to extract value

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kubernetes-tutorial

Kubernetes Tutorial for https://dn.dev/master

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TensorFlow-in-Practice

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community πŸŽ‰ and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting πŸ˜€ All while having fun learning and participating in our Deep Learning Trivia games πŸŽ‰ http://bit.ly/deep-learning-tf

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Deep-Learning-Adventures

Deep Learning Adventures. Join our Deep Learning Adventures community πŸŽ‰ and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting πŸ˜€ All while having fun learning and participating in our Deep Learning Trivia games πŸŽ‰ http://bit.ly/deep-learning-tf

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