Pinned Repositories
Bayesian-Methods-in-Machine-Learning
Assignments and project from online course on Bayesian Methods in Machine Learning
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
circEWS
circEWS public code
Coursera
Quiz & Assignment of Coursera
COVID19NPISecondWave
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
explanations-by-minimizing-uncertainty
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
https-github.com-miguellgt-books
books
ice_breaker
SuperHao-Wu's Repositories
SuperHao-Wu/Bayesian-Methods-in-Machine-Learning
Assignments and project from online course on Bayesian Methods in Machine Learning
SuperHao-Wu/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
SuperHao-Wu/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
SuperHao-Wu/circEWS
circEWS public code
SuperHao-Wu/Coursera
Quiz & Assignment of Coursera
SuperHao-Wu/COVID19NPISecondWave
SuperHao-Wu/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
SuperHao-Wu/explanations-by-minimizing-uncertainty
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
SuperHao-Wu/https-github.com-miguellgt-books
books
SuperHao-Wu/ice_breaker
SuperHao-Wu/machine-learning-notes
机器学习笔记
SuperHao-Wu/machine-learning-notes-1
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
SuperHao-Wu/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
SuperHao-Wu/mimic_sepsis
Sepsis cohort from MIMIC dataset
SuperHao-Wu/NEWS2
NEWS2 is the latest version of the National Early Warning Score (NEWS), first produced in 2012 and updated in December 2017, which advocates a system to standardise the assessment and response to acute illness.
SuperHao-Wu/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
SuperHao-Wu/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
SuperHao-Wu/rethinking
do statistical rethinking with R and python
SuperHao-Wu/Statistics
Statistic datasets and experiments
SuperHao-Wu/the-art-of-command-line
Master the command line, in one page