Ziyi Tang's repositories
AIX360
Interpretability and explainability of data and machine learning models
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Awesome-time-series
A comprehensive survey on the time series domains
balance
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
Copulas
A library to model multivariate data using copulas.
CoxKAN
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
darts
A python library for user-friendly forecasting and anomaly detection on time series.
deep-time-series
Deep learning PyTorch library for time series forecasting
gcimpute
Missing value imputation using Gaussian copula
gluonts
Probabilistic time series modeling in Python
gpt4free
The official gpt4free repository | various collection of powerful language models
Intelligent-Document-Processing-with-AWS-AI-ML-
Intelligent Document Processing with AWS AI/ML, published by Packt
lavaan
an R package for structural equation modeling and more
light-bootstrap-dashboard-react
React version of Light Bootstrap Dashboard
lime
Lime: Explaining the predictions of any machine learning classifier
m5-accuracy-competition
My second place solution in the M5 Accuracy competition
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
pyextremes
Extreme Value Analysis (EVA) in Python
pytorch-forecasting
Time series forecasting with PyTorch
pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
samplics
Select, weight and analyze complex sample data
sktime
A unified framework for machine learning with time series
snowflake-demo-notebooks
Collection of Snowflake Notebook demos, tutorials, and examples
state-spaces
Sequence Modeling with Structured State Spaces
statsmodels
Statsmodels: statistical modeling and econometrics in Python
US-Airlines-Analytics-Dashboard
This repository shows how to create an analytics dashboard in Python, using Dash, that monitors the yearly performance and delays of US airlines from 2005 to 2020. This task is the final assignment of IBM's Data Visualization with Python course.
yolov10
YOLOv10: Real-Time End-to-End Object Detection