Pinned Repositories
Armstrong
Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
CreditRiskPaper
Codes for replication and implementation of techniques in our credit risk article
DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
pyqpinbo's Repositories
pyqpinbo/Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
pyqpinbo/Armstrong
pyqpinbo/Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
pyqpinbo/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
pyqpinbo/causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
pyqpinbo/CreditRiskPaper
Codes for replication and implementation of techniques in our credit risk article
pyqpinbo/DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
pyqpinbo/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
pyqpinbo/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
pyqpinbo/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
pyqpinbo/EMGMM
pyqpinbo/ExperimentData
pyqpinbo/Forecasting-Volatility
Applying Deep Learning to Time Series Forecasts
pyqpinbo/kaggle-web-traffic
1st place solution
pyqpinbo/Loan_EDA
EDA for Prosper Loan data
pyqpinbo/Machine-Learning-Session
pyqpinbo/MixFRHLP_R
A flexible mixture model for simultaneous clustering and segmentation of functional data (time series). It uses the EM algorithm (or a CEM-like algorithm).
pyqpinbo/MixtureMed
pyqpinbo/networkpanel
This package can identify the latent group structure for panel data models via community detection
pyqpinbo/NYC-Taxi-Tip-prediction
Analyzed the NYC green taxi behavior and visualized the trip pattern (location, time, etc) in python. Deployed gradient boosting regression to predict the tip percentage
pyqpinbo/PRML
PRML algorithms implemented in Python
pyqpinbo/PRMLT
Matlab code for machine learning algorithms in book PRML
pyqpinbo/PyData_LA_2018
Added repo for PyData LA 2018 tutorial
pyqpinbo/pysurvival
Open source package for Survival Analysis modeling
pyqpinbo/Stock-Forecasting
Hidden Markov Model (HMM) based stock forecasting
pyqpinbo/Stock-Price-Forecaster
In this project we try to forecast S&P 500 stocks with machine learning and time series methods
pyqpinbo/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
pyqpinbo/survival_analysis
pyqpinbo/SurvivalAnalysis
pyqpinbo/time_series_clustering_via_community_detection
Code from the paper "Time Series Clustering via Community Detection in Networks"