lkev

lkev's Stars

• Nixtla/mlforecast

  Scalable machine 🤖 learning for time series forecasting.

  Language:Python84180

• mckinsey/vizro

  Vizro is a toolkit for creating modular data visualization applications.

  Language:Python2.6k116

• plotly/dash

  Data Apps & Dashboards for Python. No JavaScript Required.

  Language:Python21.1k2k

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.2k256

• astral-sh/ruff

  An extremely fast Python linter and code formatter, written in Rust.

  Language:Rust30.8k1k

• floatingpurr/sync_with_poetry

  Sync .pre-commit-config.yaml repos starting from poetry.lock

  Language:Python759

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.3k4.5k

• pvlib/pvlib-python

  A set of documented functions for simulating the performance of photovoltaic energy systems.

  Language:Python1.2k979

• smazzanti/mrmr

  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

  Language:Python51478

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML8.9k1.4k

• boredbird/woe

  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

  Language:Python254104

• partofthething/ace

  Python package for performing the Alternating Conditional Expectation (ACE) regression

  Language:Python6620

• paulbrodersen/entropy_based_binning

  Entropy based binning of discrete variables.

  Language:Python3411

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k726

• jessicayung/machine-learning-flashcards

  Machine learning flashcards

  Language:TeX21542

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.4k3.9k

• aws/sagemaker-python-sdk

  A library for training and deploying machine learning models on Amazon SageMaker

  Language:Python2.1k1.1k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust29.1k1.8k

• mathiasbynens/dotfiles

  :wrench: .files, including ~/.macos — sensible hacker defaults for macOS

  Language:Shell30.1k8.7k

• lysyi3m/macos-terminal-themes

  Color schemes for default macOS Terminal.app

  Language:Swift5.9k886

• shawnbrown/datatest

  Tools for test driven data-wrangling and data validation.

  Language:Python29313

• ryanmcalister/unotes

  Unotes Visual Studio Code Extension. A markdown WYSIWYG notes editor.

  Language:JavaScript17322

• zsh-users/zsh-autosuggestions

  Fish-like autosuggestions for zsh

  Language:Shell30.9k1.9k

• ejolly/pymer4

  All the convenience of lme4 in python

  Language:Python19226

• CamDavidsonPilon/lifelines

  Survival analysis in Python

  Language:Python2.3k553

• stan-dev/pystan

  PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

  Language:Python33558

• mattm/sql-style-guide

  An opinionated guide for writing clean, maintainable SQL.

  1k106

• Ibotta/sk-dist

  Distributed scikit-learn meta-estimators in PySpark

  Language:Python28552

• jazzband/pip-tools

  A set of tools to keep your pinned Python dependencies fresh.

  Language:Python7.7k609

• koaning/scikit-lego

  Extra blocks for scikit-learn pipelines.

  Language:Python1.2k117