Pinned Repositories
causalGroupProj
DeepSMOTE
Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
DLGroupProj
Comparison of Deep Learning Techniques for Stock Price Prediction.
Dodge
app
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.
hackthehub2017thesecond
App beacon app
kevintoner.github.io
My personal website
kevintoner.github.io-
Predicting-Bitcoin-Price-Using-NBEATS-Neural-Networks
A deep learning algorithm to predict bitcoin price using N-Beats. written using Tensorflow.
putResultsIntoTable
Will put results from json files into overleaf tables saved in text files
kevintoner's Repositories
kevintoner/causalGroupProj
kevintoner/DeepSMOTE
Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
kevintoner/DLGroupProj
Comparison of Deep Learning Techniques for Stock Price Prediction.
kevintoner/Dodge
app
kevintoner/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.
kevintoner/hackthehub2017thesecond
App beacon app
kevintoner/kevintoner.github.io
My personal website
kevintoner/kevintoner.github.io-
kevintoner/Predicting-Bitcoin-Price-Using-NBEATS-Neural-Networks
A deep learning algorithm to predict bitcoin price using N-Beats. written using Tensorflow.
kevintoner/putResultsIntoTable
Will put results from json files into overleaf tables saved in text files