jennyjrwong,github

albert-chinese-ner

使用预训练语言模型ALBERT做中文NER

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

astgnn

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

bernnet

PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

boostresnet

A PyTorch implementation of BoostResNet

cluedatasetsearch

搜索所有中文NLP数据集，附常用英文NLP数据集

cogdl

CogDL: An Extensive Research Toolkit for Graphs

crawler1

疫情分布图，大众点评爬虫

crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepwalk

DeepWalk - Deep Learning for Graphs

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

elmo

ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

graph-databases-use-cases

Example use cases from the O'Reilly Graph Databases book

graphembedding

Implementation and experiments of graph embedding algorithms.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jknet-dgl

A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)

lab_server

实验室服务器说明

lantern

Lantern官方版本下载蓝灯翻墙代理科学上网外网加速器梯子路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

mgbdt

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

nlp-project

I am learning NLP.I wanna join a NLP project so that I can learning faster and communicate with others.

jennyjrwong Goto Github PK

jennyjrwong's Projects

Recommend Projects

Recommend Topics

Recommend Org