ionicsolutions

vite

Next generation frontend tooling. It's fast!

ruff

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

bruno

Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)

pydantic

Data validation using Python type hints

cleanlab

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

pyenv-virtualenv

a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)

aws-lambda-power-tuning

AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

starlight

🌟 Build beautiful, accessible, high-performance documentation websites with Astro

peps

Python Enhancement Proposals

typeshed

Collection of library stubs for Python, with static types

git-branchless

High-velocity, monorepo-scale workflow for Git

hugo-coder

A minimalist blog theme for hugo.

beartype

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

examples

Infrastructure, containers, and serverless apps to AWS, Azure, GCP, and Kubernetes... all deployed with Pulumi

feathr

Feathr – A scalable, unified data and AI engineering platform for enterprise

kor

LLM(😽)

slsa

Supply-chain Levels for Software Artifacts

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

fastapi-pagination

FastAPI pagination 📖

SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

TinyChatEngine

TinyChatEngine: On-Device LLM Inference Library

gd2md-html

Convert a Google Doc to Markdown or HTML. This Docs add-on converts a Google Doc to simple Markdown and/or HTML.

aws-lambda-handler-cookbook

This repository provides a working, deployable, open source-based, serverless service blueprint with an AWS Lambda function and AWS CDK Python code with all the best practices and a complete CI/CD pipeline.

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

inseq

Interpretability for sequence generation models 🐛 🔍

ferret

A python package for benchmarking interpretability techniques on Transformers.

TalkToModel

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

BayLime

bayesian lime

modelstore-docs

Docs for the modelstore Python library

continual-learning-with-neptune