evilking-yh Goto Github PK

51learn

数据挖掘工程师养成攻略

abuse_it

对骂聊天机器人，骂一下心情更舒畅

aichallenge_imagedescribe

2017年全球AI挑战赛，图像中文描述

alpharice

使用AlphaZero的强化学习算法下米字棋

auto_conveter

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An open bilingual dialogue language model

chinese-frequency-word-list

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

chinese_license_plate_detection_recognition

yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌

company_designator

A dataset compiling typical corporate entity designators suffixed to the end of corporate names e.g. Ltd.

compress_dict

利用模糊匹配的字典树压缩词典

crack-geetest

滑动验证码破解示例，仅供学习使用。

data-structure

用python函数实现二叉树，队列，堆，有序字典

data_process

NLP 工具使用集合，数据处理 case 集合

dawg

DAFSA-based dictionary-like read-only objects for Python. Based on `dawgdic` C++ library.

deep-learning

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

deepdive-tutorial

deeplearningbook-chinese

Deep Learning Book Chinese Translation

fedml

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

flower

Flower: A Friendly Federated Learning Framework

fluffix

remove suffixes from company names

ga

遗传算法的两个例子

haif

基于MindSpore、Pytorch、Tensorflow构建的上层AI可配置框架，一种AI版低代码平台的实现。

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

improveddoublearraytrie

这是针对大数据集优化了的双数组字典树，使得在大数据集上构建速度也比较满意，查询速度不随数据集的增加而增加，同时解决了数据集需要有序的要求.

indexarraylist

一种列表型的数据结构，适用于大数据集，可加快 增、查、改 的速度，用300万测试集测，速度是 LinkedList的 两百多倍

machinelearningnote

用python实现机器学习各种经典算法

marl

多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等

marl-algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II