Pengzhi Gao's repositories
CrossConST-MT
Code for Findings of ACL 2023 paper "Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization"
CrossConST-SR
Code for EMNLP 2023 industry track paper "Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization"
CrossConST-LLM
Code for arXiv paper "Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models"
gpengzhi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
COMET
A Neural Framework for MT Evaluation
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
dlaicourse
Notebooks for learning deep learning
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
llama-recipes
Examples and recipes for Llama 2 model
lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
machine-learning-systems-design
A booklet on machine learning systems design with exercises
MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
mtandseq2seq-code
Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
nlp
🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
PaddleNLP
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.
Research
novel deep learning research works with PaddlePaddle
texar-pytorch
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.