Pinned Repositories
tzhang-ccs's Repositories
tzhang-ccs/my_utils
tzhang-ccs/GCM_paras_tune
tzhang-ccs/BRITS_RA_TA
tzhang-ccs/CCausal
tzhang-ccs/climate_causation
tzhang-ccs/climate_diagnostics
tzhang-ccs/code_template
tzhang-ccs/DNS
tzhang-ccs/DNS_install
tzhang-ccs/dtreeviz
A python library for decision tree visualization and model interpretation.
tzhang-ccs/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.
tzhang-ccs/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
tzhang-ccs/interpretable-ml-book
Book about interpretable machine learning
tzhang-ccs/lingam
tzhang-ccs/linux-zero-machine
tzhang-ccs/ML4ESM
tzhang-ccs/ML_PRDNS
tzhang-ccs/ML_trigger
tzhang-ccs/notes
tzhang-ccs/PR_DNS_base
tzhang-ccs/pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
tzhang-ccs/snowflake_semi_learn
tzhang-ccs/TC_genesis
tzhang-ccs/ticket-grab
tzhang-ccs/tools
tzhang-ccs/UQ_climate
tzhang-ccs/UQ_python