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kuda-runtime

lc-practise

llama-efficient-tuning

Fine-tuning LLaMA with PEFT (PT+SFT+RLHF with QLoRA)

node2vec

ohmyzsh

🙃 A delightful community-driven (with 1500+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

personnel-management-system

人事管理系统，基于Spring+SpringMVC+Mybatis框架，该项目两级权限管理员与普通员工，包含用户管理，部门管理，职位管理，员工管理，公告管理，下载中心等多个模块

pointwise-pairwise-recommendation

ps-lite

A lightweight parameter server interface

pyecharts

🎨 Python Echarts Plotting Library

recsys_spark

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

rsshub

🍰 Everything is RSSible

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

sequence-semantic-embedding

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

spark-scala-examples

This project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language

spark-word2vec

A parallel implementation of word2vec based on Spark

sparrowrecsys

A Deep Learning Recommender System

statistic

collecting books, papers and docs.

stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

swifter

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tony

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.