Stars
Implementation of the paper: Beyond Correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
Implementation of AAAI-2025 paper -- "CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation"
Implementation of the EMNLP'24 paper: Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
Collection of papers and resources for data augmentation for NLP.
An Open-Source Framework for Prompt-Learning.
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
An Open-Source Package for Textual Adversarial Attack.
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Conditional GAN for generating synthetic tabular data.
A tool for extracting plain text from Wikipedia dumps
Library for training machine learning models with privacy for training data
DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
A collection of datasets that pair questions with SQL queries.
A large annotated semantic parsing corpus for developing natural language interfaces.
Data and code behind the articles and graphics at FiveThirtyEight
A simple, extensible library for developing AutoML systems
A TensorFlow (Python 3) implementation of a differentially-private-GAN.
Privacy-preserving generative deep neural networks support clinical data sharing
Python package to parse news from various news website
An open source python library for automated prediction engineering
Tensors and Dynamic neural networks in Python with strong GPU acceleration