The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

The Museum of Modern Art (MoMA) collection data

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

Unsupervised machine learning to classify art materials

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

A framework for rapidly testing CV neural network models in Keras + TF

Extremely fast Query Engine for DataFrames, written in Rust

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

A Rust machine learning framework.

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Sampling profiler for Python programs

Temp repo for headless chrome download

Cotyledon provides a framework for defining long-running services.

extension of keras tools

Neural network visualization toolkit for keras

A game theoretic approach to explain the output of any machine learning model.

Courses for the Einstein Clinical Research Training Program