Siyang Yuan's starred repositories

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

fastText

Library for fast text representation and classification.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

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nlp-recipes

Natural Language Processing Best Practices & Examples

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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Resemblyzer

A python package to analyze and compare voices with deep learning

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Tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

Language:PythonLicense:MITStargazers:2267Issues:133Issues:472

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

Language:PythonLicense:Apache-2.0Stargazers:1077Issues:27Issues:10

graphsage-simple

Simple reference implementation of GraphSAGE.

kg-bert

KG-BERT: BERT for Knowledge Graph Completion

Language:PythonLicense:Apache-2.0Stargazers:689Issues:15Issues:42

relationPrediction

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

GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

Language:PythonLicense:MITStargazers:469Issues:8Issues:45

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

Language:PythonLicense:MITStargazers:454Issues:13Issues:23

imagenet-r

ImageNet-R(endition) and DeepAugment (ICCV 2021)

Language:PythonLicense:MITStargazers:250Issues:8Issues:9

KGE-HAKE

The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Language:PythonLicense:MITStargazers:250Issues:6Issues:20

ConvKB

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

Language:PythonLicense:Apache-2.0Stargazers:203Issues:6Issues:18

masf

Domain Generalization via Model-Agnostic Learning of Semantic Features

Language:PythonLicense:Apache-2.0Stargazers:146Issues:7Issues:16

Caffe-ExcitationBP

Implementation of Excitation Backprop in Caffe

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LDDG

[NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'

Language:Jupyter NotebookLicense:MITStargazers:62Issues:5Issues:8

Implicit-LVM

This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 2019).

Language:OpenEdge ABLStargazers:55Issues:1Issues:4

cdvae-vc

TensorFlow Implementation of CDVAE-VC.

Language:PythonLicense:MITStargazers:54Issues:7Issues:3

HAL

[AAAI'20] Code release for "HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs".

detnet

Code and dataset for TACL 19: Weakly Supervised Domain Detection.

DGSML

DGSML is the first method of semi-supervised meta learning that employs two novel loss functions to learn a predictive domain-invariant representation by taking both labeled and unlabeled samples from different input domains

Language:PythonLicense:GPL-3.0Stargazers:9Issues:3Issues:0

cvbenchmark

pytest-like benchmark tool