Qin Yu's starred repositories
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
interpretable-ml-book
Book about interpretable machine learning
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
PrefixSpan-py
The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.
rocket-recycling
Rocket-recycling with Reinforcement Learning
awesome-semantic-search
Semantic search with embeddings: index anything
post--bayesian-optimization
Exploring Bayesian Optimization
NeuralNetworkPointProcess
code for "Fully Neural Network based Model for General Temporal Point Processes"
ERPP-RMTPP
A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
neural-hawkes-particle-smoothing
Source code of the neural Hawkes particle smoothing (ICML 2019)
neural-datalog-through-time
Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).