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

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Uncomplicated Observability for Python and beyond! 🪵🔥

An experimental open-source attempt to make GPT-4 fully autonomous.

Magenta: Music and Art Generation with Machine Intelligence

Syntactic search tool to explore and retrieve information from time series

scikit-learn: machine learning in Python

Open source platform for the machine learning lifecycle

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Keras implementation for Deep Embedding Clustering (DEC)

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

We redesign the outlook app also make it responsive so that you can run it everywhere on your phone, tab, or web.

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

📃 A list of practical projects that anyone can solve in any programming language.

Learn how to responsibly deliver value with ML.

A machine learning library for detecting anomalies in signals.