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benchmark

deberta

The implementation of DeBERTa

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

fluiddoc

Documentations for PaddlePaddle

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

helpers

Package for helpers.cpp https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/ernie-1.0/data_tools/helpers.cpp

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

models

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）

ogb

An open source benchmark for graph machine learning in Pytorch https://ogb.stanford.edu

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）

paddlefleetx

Paddle Distributed Training Examples. 飞桨分布式训练示例 Resnet Bert GPT MOE DataParallel ModelParallel PipelineParallel HybridParallel AutoParallel Zero Sharding Recompute GradientMerge Offload AMP DGC LocalSGD Wide&Deep

paddlenlp

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

paddlex

PaddlePaddle Entire Process Development Toolkit（『飞桨』深度学习全流程开发工具）

pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

safetensors

Simple, safe way to store and distribute tensors

tf_related_staff

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities