LemonNoel/nanoGPT-mup-fork
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ph.D. Candidate@USC
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Code for paper An Adversarial Transfer Network for Knowledge Representation Learning, TheWebConf21
Easy-to-use and Fast NLP library with awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications.
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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)
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Adversarial Data Augmentation for Graph Neural Networks.
Low Rank Global Attention for Graph Neural Networks
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
Documentations for PaddlePaddle
Toy Re-implementations for GAN Models.
Android Course Project