p-gourseaud

MakerSkillTree

A repository of Maker Skill Trees and templates to make your own.

PDF-Extract-Kit

A Comprehensive Toolkit for High-Quality PDF Content Extraction

prompt-injection-defenses

Every practical and proposed defense against prompt injection.

ODESolver

An ODE solver using an explicit Runge-Kutta third order scheme

Dupire_PDE_Pricer

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

dot

The Deepfake Offensive Toolkit

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

poetry

Python packaging and dependency management made easy

python-deequ

Python API for Deequ

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

alibi-detect

Algorithms for outlier, adversarial and drift detection

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

pycaret

An open-source, low-code machine learning library in Python

missingno

Missing data visualization module for Python.

amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

behave

BDD, Python style.

pytest-bdd

BDD library for the py.test runner

difftastic

a structural diff that understands syntax 🟥🟩

FinRL

FinRL: Financial Reinforcement Learning. 🔥

great_expectations

Always know what to expect from your data.

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

HVM

A massively parallel, optimal functional runtime in Rust

devops-for-databricks

devops-for-databricks

MLOps

MLOps examples

MAKRO

CyberChef

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

stat_rethinking_2022

Statistical Rethinking course winter 2022

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

pyspark-k8s-boilerplate

Boilerplate for PySpark on Cloud Kubernetes