Beast code in Giters

Yao Zhen's starred repositories

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

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bert

TensorFlow code and pre-trained models for BERT

Language:PythonApache-2.037286 997 1139

How-To-Ask-Questions-The-Smart-Way

本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

Language:JavaScriptMIT29693 416 29

rust-course

“连续六年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book

Language:Rust23691 156 185

deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookMIT16402 593 28

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Language:Jupyter NotebookNOASSERTION10134 257 77

ERNIE

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Language:Python6224 197 658

tips_for_interview

我的一些面试心得；自学CS历程分享；找工作求职经验分享

NOASSERTION3661 52 5

DeepKE

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Language:PythonMIT3076 43 497

taobao_seckill

淘宝、天猫半价抢购，抢电视、抢茅台，干死黄牛党

Language:Python2400 41 110

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Language:PythonApache-2.01653 30 171

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

Language:PythonMIT1558 26 536

minitorch

The full minitorch student suite.

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Language:JavaAGPL-3.01152 17 215

relationPrediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

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OpenUE

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

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KGEmb

Hyperbolic Knowledge Graph embeddings.

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NodePiece

Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)

Language:PythonMIT134 7 7

RE-GCN

This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

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