SnailDM's repositories
Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
PCA-GM
Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Machine-Learning-Notes
周志华《机器学习》手推笔记
text-classification
文本分类的目前测试效果较好的算法
Bert-TextClassification
Implemention some Baseline Model upon Bert for Text Classification
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
TextClassify_with_BERT
使用BERT模型做文本分类；面向工业用途
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）
OpenKE
An Open-Source Package for Knowledge Embedding (KE)
dask
Parallel computing with task scheduling
pykg2vec
Python library for knowledge graph embedding and representation learning.
HypER
Hypernetwork Knowledge Graph Embeddings
SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
BLSTM-CRF-NER
BiLSTM+CNN+CRF NER, using pytorch
pyke-KGE
A Physical Embedding Model for Knowledge Graphs
GraphSimilarity
Research into algorithms for measuring graph distance/similarity and clustering of structured data
EXCEL-match-keywords-and-set-colors
python匹配文本关键词并设置颜色
NEO4J-subgraphmatcher
Match Query graph in Data graph
PyTorch-BigGraph
Software used for generating embeddings from large-scale graph-structured data.
GMatch4py
A graph matching library for Python
Python
All Algorithms implemented in Python
Dependency-Hearsts-Patterns
A tool to pre-process a textual resources and apply Dependency Hearst's Patterns (DHP) to extract Hypernym (is-a) relations. DHP is a new formulation of the popular lexico-syntactic Hearst's Patterns.