sigma23

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

fake-news

This is a further development of the kdnuggets article on fake news classification by George McIntyre

mujson

Use the fastest JSON functions available at import time.

python-fastjsonschema

Fast JSON schema validator for Python.

missingno

Missing data visualization module for Python.

sagify

LLMs and Machine Learning done easily

pwc

This repository is no longer maintained.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

sagemaker-scikit-learn-container

Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

h2o3-sagemaker

Integrating H2O-3 AutoML with Amazon Sagemaker

lingo

A single source of truth for data definitions

data-dictionary

Application to allow recording and visualizing a data dictionary

metalicious

An open source data dictionary which can be deployed to track the metadata of one or more databases.

pycon-monitoring-workshop

manim

Animation engine for explanatory math videos

pixelhouse

A minimalist drawing library for making beautiful animations in python

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

pandas-sets

Set-oriented Operations in Pandas

pytext

A natural language modeling framework based on PyTorch

loguru

Python logging made (stupidly) simple

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

yoel-zeldes.github.io

This is my personal blog about machine learning and software engineering.

altair_widgets

Interactive data exploration with Altair

Cost-sensitive-Boosting-Tutorial

Tutorial on cost-sensitive boosting and calibrated AdaMEC.

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

scipipe

Robust, flexible and resource-efficient pipelines using Go and the commandline

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

category_encoders

A library of sklearn compatible categorical variable encoders

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman