JianqiaoMao
Jianqiao Mao is a PhD student at University of Birmingham, awarded with studentship from the HDRUK-Alan Turing PhD Programme supported by Wellcome Trust.
University of BirminghamBirmingham
Pinned Repositories
AAPL_stock_price_prediction
AMLS_assignment20_21_SN20041534
The assignment code of AMLS (2020-2021)
CausalBootstrapping
CausalBootstrapping is an easy-access implementation and extention of causal bootstrapping (CB) technique for causal analysis. With certain input of observational data, causal graph and variable distributions, CB resamples the data by adjusting the variable distributions which follow intended causal effects.
EnhancedXGBM
A enhanced XGBM by considering a loss function with higher order.
Interpretable-machine-learning-for-HVAC-predictive-control
The open-access code of an interpretable machine learning-based method for room temperature prediction in a non-domestic building.
Neoscholar-Machine_Learning_Basics
Coding assignments materials
PFFRA
An Interpretable Machine Learning technique to analyse the contribution of features in the frequency domain. This method is inspired by permutation feature importance analysis but aims to quantify and analyse the time-series predictive model's mechanism from a global perspective.
Real-time-Vision-based-Sign-Language-Recognition-System
My undergraduate Final Year Project awarded as the Excellent Bachelor's Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently can recognize 10 static and 2 dynamic gesutures in ASL with testing accuracy of 99.68%.
UCL_AISOC_Tutorial_HandGestureRecognition
This project aims to design a real-time vision-based hand gesture recognition system with machine learning techniques, which potentially makes deaf-and-mute people life easier.
GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
JianqiaoMao's Repositories
JianqiaoMao/Real-time-Vision-based-Sign-Language-Recognition-System
My undergraduate Final Year Project awarded as the Excellent Bachelor's Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently can recognize 10 static and 2 dynamic gesutures in ASL with testing accuracy of 99.68%.
JianqiaoMao/UCL_AISOC_Tutorial_HandGestureRecognition
This project aims to design a real-time vision-based hand gesture recognition system with machine learning techniques, which potentially makes deaf-and-mute people life easier.
JianqiaoMao/PFFRA
An Interpretable Machine Learning technique to analyse the contribution of features in the frequency domain. This method is inspired by permutation feature importance analysis but aims to quantify and analyse the time-series predictive model's mechanism from a global perspective.
JianqiaoMao/Interpretable-machine-learning-for-HVAC-predictive-control
The open-access code of an interpretable machine learning-based method for room temperature prediction in a non-domestic building.
JianqiaoMao/CausalBootstrapping
CausalBootstrapping is an easy-access implementation and extention of causal bootstrapping (CB) technique for causal analysis. With certain input of observational data, causal graph and variable distributions, CB resamples the data by adjusting the variable distributions which follow intended causal effects.
JianqiaoMao/AMLS_assignment20_21_SN20041534
The assignment code of AMLS (2020-2021)
JianqiaoMao/EnhancedXGBM
A enhanced XGBM by considering a loss function with higher order.
JianqiaoMao/Neoscholar-Machine_Learning_Basics
Coding assignments materials
JianqiaoMao/AAPL_stock_price_prediction
JianqiaoMao/ali-words
互联网黑话词汇表，包含“赋能、抓手、闭环、沉淀、打通”等阿里味儿词汇
JianqiaoMao/AMLS_20-21_SN20029691
The AMLS assignment of UCL IMLS
JianqiaoMao/AMLS_II
This code is for use within the UCL Electronic Engineering AMLS II module (ELEC0135).
JianqiaoMao/AMLS_II_assignment20_21_SN20041534
The code of AMLS II assignment(2020-2021)
JianqiaoMao/Data-Insights-for-Management-Empowering-Business-Decisions
Repository for the workshop, including tutorial material
JianqiaoMao/GRAPL_new_fixall_func
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
JianqiaoMao/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
JianqiaoMao/mechanism_learning
Mechanism learning library is a library to provide an easy approach to ensure the model can capture the causal relationships between the cause and the effect given an observable mediator when some unobservable confounders influencing both the cause and effect. The library is compatible with most existing ML models.
JianqiaoMao/myUtils
A tool box of commonly used techniques in data science coding.
JianqiaoMao/smart-city-analytics
Analyze large data sets collected from a long-range IoT system that uses LoRaWAN networking