Highlights
- Pro
ML Engineering
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Pandas integration with sklearn
🐦 Quickly annotate data from the comfort of your Jupyter notebook
This repository contains code samples for Vertex AI, including pipelines, metadata and more. Mainly with finance datasets.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Solve puzzles. Improve your pytorch.
Machine Learning Engineering Open Book