Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…

This repository contains cutting-edge open-source security tools (OST) for a red teamer and threat hunter.

Making open safety AI models accessible and beneficial to the safety community

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

DSPy: The framework for programming—not prompting—language models

Probabilistic LLM evaluations. [CogSci2023; ACL2023]

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

Democratizing NLP!

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Improved Sentence Alignment in Linear Time and Space

Machine-Translation-based sentence alignment tool for parallel text

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

Multilingual Compositional Wikidata Questions (MCWQ)

Repository for the Bias Benchmark for QA dataset.

Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and s…

Bayesian IRT models in Python

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

Materials from Stan conferences

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Replication code for "With Little Power Comes Great Responsibility"

Analysis of NLU test sets with IRT

Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"