Zephyr1022's Stars
RyanWangZf/PromptEHR
EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
EmilyAlsentzer/clinicalBERT
repository for Publicly Available Clinical BERT Embeddings
uclanlp/awesome-fairness-papers
Papers on fairness in NLP
aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
zcgzcgzcg1/ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
princeton-nlp/PURE
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
INK-USC/fewNER
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER (ACL 2022)
OthersideAI/chronology
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
facebookresearch/metaseq
Repo for external large-scale work
alpa-projects/alpa
Training and serving large-scale neural networks with auto parallelization.
allenai/scibert
A BERT model for scientific text.
Zephyr1022/SDOH-N2C2-UTSA
Extraction of SDOH information from clinical notes
cybertronai/gradient-checkpointing
Make huge neural nets fit in memory
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
hakimel/reveal.js
The HTML Presentation Framework
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
NLP-LOVE/Model_Log
Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具,可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等,并以曲线图的形式进行展现对比,轻松三步即可实现。
replicate/keepsake
Version control for machine learning
mmihaltz/word2vec-GoogleNews-vectors
word2vec Google News model
allenai/Break
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.