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Zhang's Projects

gopl icon gopl

Solutions to the Exercises of "The Go Programming Language"

graph4nlp icon graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graphit icon graphit

Official Pytorch Implementation of GraphiT

graphtransformer icon graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

great icon great

The dataset for the variable-misuse task, used in the ICLR 2020 paper 'Global Relational Models of Source Code' [https://openreview.net/forum?id=B1lnbRNtwr]

hgt-dgl icon hgt-dgl

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

hgt-hpg icon hgt-hpg

code for "Learning to Represent Programs with Heterogeneous Graphs"

hosts icon hosts

镜像:https://coding.net/u/scaffrey/p/hosts/git

iclr20-great icon iclr20-great

Data and Code for Reproducing "Global Relational Models of Source Code"

irnet icon irnet

Code for our ACL'19 accepted paper "Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation"

iscript icon iscript

各种脚本 -- 关于 虾米 xiami.com, 百度网盘 pan.baidu.com, 115网盘 115.com, 网易音乐 music.163.com, 百度音乐 music.baidu.com, 360网盘/云盘 yunpan.cn, 视频解析 flvxz.com, bt torrent ↔ magnet, ed2k 搜索, tumblr 图片下载, unzip

jinyong icon jinyong

金庸合集(修订版),爬自http://www.jinyongwang.com/

jsproxy icon jsproxy

一个基于浏览器端 JS 实现的在线代理

kilo icon kilo

A text editor in less than 1000 LOC with syntax highlight and search.

logic_explainer_networks icon logic_explainer_networks

Deep Logic is a python package providing a set of utilities to build deep learning models that are explainable by design.

lookahead.pytorch icon lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

markdown-resume icon markdown-resume

Generate a responsive CSS3 and HTML5 resume with Markdown, with optional PDF output.

memorizing-transformers-pytorch icon memorizing-transformers-pytorch

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

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