This class is a graduate-level introduction to Natural Language Processing (NLP), the study of computing systems that can process, understand, or communicate in human language. The course covers ...

Building AI systems today goes far beyond training models. Real-world applications need stable APIs, predictable data flow, and the ability to handle high-volume requests without turning your ...

SCOPE-RL is an open-source Python Software for implementing the end-to-end procedure regarding offline Reinforcement Learning (offline RL), from data collection to offline policy learning, off-policy ...

The primary purpose of this project is to facilitate the computation of Network Neuroscience metrics using Graph Theory and Topological Data Analysis. Here we will describe the core packages that will ...

Coax is a modular Reinforcement Learning (RL) Python package for solving OpenAI Gym (opens in new tab) environments with JAX (opens in new tab)-based function approximators (using Haiku (opens in new ...

Computational modeling has become a central aspect of research in the cognitive neurosciences. As the field matures, it is increasingly important to move beyond standard models to quantitatively ...

A second obstacle relates to the development of new probabilistic models. From the perspective of developers, there are many necessary routines to implement in support of a probabilistic model, ...