iKintosh's Stars
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
microsoft/pyright
Static Type Checker for Python
pytest-dev/pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
sktime/sktime
A unified framework for machine learning with time series
owid/covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
facebookresearch/hiplot
HiPlot makes understanding high dimensional data easy
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
sdv-dev/SDV
Synthetic data generation for tabular data
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
linkedin/greykite
A flexible, intuitive and fast forecasting library
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
bashtage/arch
ARCH models in Python
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
mrocklin/multipledispatch
Multiple dispatch
zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
omreps/programmer-competency-matrix
ENG -> RU: Матрица компетентности программиста, мой перевод
Dyakonov/DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
antoinecarme/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Erotemic/xdoctest
A rewrite of Python's builtin doctest module (with pytest plugin integration) with AST instead of REGEX.
avito-tech/aqueduct
Framework for create performance-efficient prediction
thoughtbot/maintaining-open-source-projects
A successful open source project is not only one that is original, solves a particular problem well, or has pristine code quality. Those are but the tip of the iceberg, which we'll thoroughly dissect with this book.