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Hi there 👋

  My Chinese name is Zhiyuan Fan. I was born on February 20, 2002. A unique and wonderful day!

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  • ⚡ Huawei HCIP Engineer (artificial intelligence)
  • 🔭 Baidu PaddlePaddle Developer Expert PPDE (artificial intelligence)

Zhiyuan Fan's Projects

arekit icon arekit

Document level Attitude and Relation Extraction toolkit (AREkit) for mass-media news and analytical articles

armnn icon armnn

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

autophrase icon autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

awesome-deeplearning icon awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

bert_seq2seq icon bert_seq2seq

pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。

chisel3 icon chisel3

Chisel 3: A Modern Hardware Design Language

cinn icon cinn

Compiler Infrastructure for Neural Networks

delip icon delip

DELIP: Dense Enhanced Language-Image Pretraining

docs icon docs

TensorFlow documentation

dpr icon dpr

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

easyexcel icon easyexcel

快速、简洁、解决大文件内存溢出的java处理Excel工具

executor-3d-encoder icon executor-3d-encoder

An executor that wraps 3D mesh models and encodes 3D content documents to d-dimension vector.

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

flagai icon flagai

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

gc-dpr icon gc-dpr

Train Dense Passage Retriever (DPR) with a single GPU

gradcache icon gradcache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

gumbel-crf icon gumbel-crf

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

hnswlib icon hnswlib

Header-only C++/python library for fast approximate nearest neighbors

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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