KirkHadley

react-tree-select

A React component that renders a tree of selectable options

electric

Local-first sync layer for web and mobile apps. Build reactive, realtime, local-first apps directly on Postgres.

scrapbook

A library for recording and reading data in notebooks.

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

conformal-selection

Repository for R and Python packages and reproduction codes in Weighted Conformalized Selection paper

Made-With-ML

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

rxflow

minimal reactive state management in Python

embedbase

A dead-simple API to build LLM-powered apps

obsidian-ava

Quickly format your notes with ChatGPT in Obsidian

llama

Inference code for Llama models

cleanlab

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

similarity

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

recommenders

Best Practices on Recommendation Systems

collie

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

docker-dev-container

A vim development environment

vim-docker-tools

Toolkit for managing docker containers, networks and images in vim.

adanet

Fast and flexible AutoML with learning guarantees.

server

W&B Server is the self hosted version of Weights & Biases

polars

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

helm-charts

tft-speedup

Speeding up Google's Temporal Fusion Transformer

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

amundsen

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

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

pystacknet

awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

cml

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

detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks