leeon2vec Goto Github PK

2016ccf-sougou

2016CCF-sougou-code&PPT

2016ccf_bdci_sougou

【源码以及PPT分享】2016CCF大数据与计算智能大赛：精准营销中搜狗用户画像挖掘

alitianchi

apriori

Apriori algorithm implement

axios

最简单的方式了解axios

bert-bilstm-crf-pytorch

使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

cainiao-demandforecast-storageplaning

1st Place Season one & 6th Place Season two

clue

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

codellama

Inference code for CodeLlama models

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

datacastle-solution

1st Place Solution for DataCastle-CashBus Competition

deep-learning-demo

:pushpin: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-learning-with-python

《Python深度学习》书籍代码

elasticsearch-hadoop

:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop

elemmentui-vue-

elementui-vue 响应式企业官网

entity_tagging_platform

A simple and useful platform for entity tagging using tornado.

fast-bert

Super easy library for BERT based NLP models

firefly

Firefly(流萤): 中文对话式大语言模型(全量微调+QLoRA)，支持微调Mixtral-8x7B、Zephyr、Mistral、Aquila2、Baichuan2、CodeLlama、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya、Bloom等大模型

get_pinyin_distance

将中文转换为拼音，并计算两者读音的相似度

gxb-core

GXB-Core

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

ipfs

Peer-to-peer hypermedia protocol

jd

jdata

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

keyword_extraction-1

神策杯2018高校算法大师赛（中文关键词提取）第二名代码方案

logstash-input-jdbc

Logstash Plugin for JDBC Inputs

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯