High-performance backend for language model probabilistic programs

[ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks

Get language models to generate responses in a specific format reliably. Open source implementation of Synchromesh: Reliable code generation from pre-trained language models.

Probabilistic programming with large language models

A domain-specific probabilistic programming language for modeling and inference with language models

Bindings for stitch

Probabilistic LLM evaluations. [CogSci2023; ACL2023]

Identifying concept libraries from language about object structure

A scalable abstraction learning library

Library for running LAPS experiments.

Learning to Rank in TensorFlow

JupyterLab computational environment.

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Public course repo