aakansh9

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

streamlit

Streamlit — A faster way to build and share data apps.

faker

Faker is a Python package that generates fake data for you.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

user.js

Firefox privacy, security and anti-tracking: a comprehensive user.js template for configuration and hardening

boltons

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

feast

The Open Source Feature Store for Machine Learning

ethereum-developer-tools-list

A guide to available tools and platforms for developing on Ethereum.

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

dtreeviz

A python library for decision tree visualization and model interpretation.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

manifold

A model-agnostic visual debugging tool for machine learning

ngboost

Natural Gradient Boosting for Probabilistic Prediction

xai

XAI - An eXplainability toolbox for machine learning

ebook-tools

Shell scripts for organizing and managing ebook collections

DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

demand_forecast

featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

xgboostExplainer

An R package that makes xgboost models fully interpretable

voila-gridstack

Dashboard template for Voilà based on GridStackJS

mlcontests.github.io

A list of public machine learning/data science/AI contests.

liftr

🐳 Containerize R Markdown documents for continuous reproducibility

HParams

Configure Python functions explicitly and safely

push-kaggle-kernel

GitHub Action to push kaggle kernel

Parsenvy

Enviously Elegant Environment Variable Parsing

EIX

Structure mining for xgboost model