Tao Zhang's repositories
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.
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
interpretable-ml-book
Book about interpretable machine learning
pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理