Pinned Repositories
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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 in
keras-tcn
Keras Temporal Convolutional Network.
langchain_bigquery_vector_learning
A pretty useful use case with Langchain using BigQuery vector search
ml-class
Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras
mom_diary
a website to help mom collect touching moments
python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
rllib_tutorials
Ray RLlib tutorial material
time-series-workshop
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
DailiZhang2010's Repositories
DailiZhang2010/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DailiZhang2010/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 in
DailiZhang2010/keras-tcn
Keras Temporal Convolutional Network.
DailiZhang2010/langchain_bigquery_vector_learning
A pretty useful use case with Langchain using BigQuery vector search
DailiZhang2010/ml-class
Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras
DailiZhang2010/mom_diary
a website to help mom collect touching moments
DailiZhang2010/python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
DailiZhang2010/rllib_tutorials
Ray RLlib tutorial material
DailiZhang2010/time-series-workshop
DailiZhang2010/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
DailiZhang2010/tutorials
Source code from Jake Wright's YouTube tutorials
DailiZhang2010/VertexAI-Semantic-Caching
Repository dedicated to enhancing data retrieval and processing efficiencies in Google Cloud's Vertex AI by implementing a semantic caching layer with MemoryStore, Vertex AI Vector Search, and Gemini, focusing on GenAI applications.