jxudata's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
withfig/autocomplete
IDE-style autocomplete for your existing terminal & shell
PySimpleGUI/PySimpleGUI
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
py-why/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.
pywebio/PyWebIO
Write interactive web app in script way.
bslatkin/effectivepython
Effective Python: Third Edition — Source Code and Errata for the Book
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
PAIR-code/what-if-tool
Source code/webpage/demos for the What-If Tool
SauceCat/PDPbox
python partial dependence plot toolbox
koaning/human-learn
Natural Intelligence is still a pretty good idea.
n8henrie/pycookiecheat
Borrow cookies from your browser's authenticated session for use in Python scripts.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
scikit-learn-contrib/project-template
A template for scikit-learn extensions
deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
SauceCat/pydqc
python automatic data quality check toolkit
ykwon0407/WeightedSHAP
WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
kingfengji/mGBDT
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
Affirm/shparkley
Spark implementation of computing Shapley Values using monte-carlo approximation
donghyunlee/dtp
reichlab/ncov
analyses related to nCoV-2020 outbreak
Affirm/splinator
Splinator: probabilistic calibration with regression splines
cgrail/github-chrome-fullname
Chrome/Firefox Extension to display full names instead of user ids for Github Enterprise