Pinned Repositories
ADAPET
[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training
leeyy.github.io
LM-BFF
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models
logic
NCCL
Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, allGather, reduceScatter and sendRecv operations.
P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
PARSHA256_GPU
QE
leeyy2020's Repositories
leeyy2020/QE
leeyy2020/ADAPET
[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training
leeyy2020/leeyy.github.io
leeyy2020/LM-BFF
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models
leeyy2020/logic
leeyy2020/NCCL
Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, allGather, reduceScatter and sendRecv operations.
leeyy2020/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
leeyy2020/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
leeyy2020/PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
leeyy2020/PARSHA256_GPU
leeyy2020/obisidian_note
leeyy2020/PARSHA256_GPU-1
leeyy2020/PET
leeyy2020/pet-1
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
leeyy2020/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
leeyy2020/upload
leeyy2020/WARP
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/