🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Modin: Scale your Pandas workflows by changing a single line of code

Models and examples built with TensorFlow

A list of all named GANs!

Caffe: a fast open framework for deep learning.

My most used Docker Containers

Parallel computing with task scheduling

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

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

Running large language models on a single GPU for throughput-oriented scenarios.

A playbook for systematically maximizing the performance of deep learning models.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Unsupervised time series anomaly detection library

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.