neverfox

polars

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

umap

Uniform Manifold Approximation and Projection

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

hamilton

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

PDPbox

python partial dependence plot toolbox

azure-storage-fuse

A virtual file system adapter for Azure Blob storage

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

XGBoostLSS

An extension of XGBoost to probabilistic modelling

cookiecutter-fastapi

Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Github Actions and Pytests

lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

LightGBMLSS

An extension of LightGBM to probabilistic modelling

fastapi-health

Implement the Health Check API pattern on your FastAPI application! :rocket:

properscoring

Proper scoring rules in Python

GraXpert

GraXpert is an astronomical image processing program for extracting and removing gradients from the background of your astrophotos.

Transformer_Timeseries

Pytorch code for Google's Temporal Fusion Transformer

ML-API

Guide on creating an API for serving your ML model

fastAPI-ML-quickstart

MLAlchemy

Python library to convert YAML/JSON into SQLAlchemy SELECT queries

aggregate

Tools for creating and working with aggregate probability distributions.

autolgbm

LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.

genpipes

Library to write readable and reproducible data processing code using python.

Py-BoostLSS

An extension of Py-Boost to probabilistic modelling

fastapi-mlflow

Deploy mlflow models as JSON APIs with minimal new code

nested-cross-validation-comparison

Experimenting with various implementations and methods of nested cross-validation in R and Python

mbbefd

Destruction rate modeling with the Maxwell Boltzmann Bose Einstein Fermi Dirac (MBBEFD) distribution

pydwt

Modeling tool like DBT to use SQL Alchemy core with a DataFrame interface like

double_lift

Double Lift Charts in Python

DeepTriangle

Attempt at Deep triangle model as presented in Kevin Kuo/Kasa AI. Hopefully in time connected to det ChainLadder paclage