PhD student at the University of Washington
self-instruct. Aligning pretrained language models with instruction data generated by themselves.
4.6kTk-Instruct. Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
184StageDP. A two-stage RST discourse parser
64WikiQA-Selection. Answer selection task based on WikiQA datatest.
45llm-temporal-alignment. Methods and evaluation for aligning language models temporally
31TagNN-PDTB. Tag-enhanced Tree-Structured NN for discourse relation classification.
23truthfulqa_reeval. Python
12mail-exec. A command utility that runs your job and sends email to you when it's done.
8tf-qanet. Tensorflow implementation of QANet.
5KDDCUP2015. Python
3allennlp-reading-comprehension-research. Python
2yizhongw.github.io. My Homepage.
2tensorflow-nlp. Implement prevailing Neural Network models for NLP with Tensorflow.
2promptsource. Toolkit for collecting and applying prompts
2stanford_alpaca. Code and documentation to train Stanford's Alpaca models, and generate the data.
2FLAN-data-generation. Python
2natural-instructions. Expanding natural instructions
1EasyLM. Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
1transformers. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
1YoudaoTranslator. Alfred Youdao Translate Workflow
1ds-cheatsheets. List of Data Science Cheatsheets to rule the world
1KILT. Library for Knowledge Intensive Language Tasks
1cdminer. website for cdminer
1cracking-the-data-science-interview. A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
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