llango Goto Github PK

followers: 5.0 following: 14.0 repos: 108.0 gists: 2.0

Name: 凉葱落

Type: User

Company: 火葱

Bio: just make it

有关我的介绍如下:

from dataclasses import dataclass
from typing import Sequence


@dataclass(frozen=True)
class Portfolio:
    en_name: str = 'Rontom'
    cn_name: 'Congliang Luo'
    location: str = 'Hunan·Changsha'
    profile: str = 'NLPer, Python Developer, Frontend Development'
    experience: str = '10+ years'
    website: str = 'http://www.llango.com'
    hobbies: Sequence[str] = 'Bike', 'Read', 'open source', 'and so on'


@dataclass(frozen=True)
class Skills:
    languages: Sequence[str] = 'Python', 'JavaScript', 'Shell'
    operation_systems: Sequence[str] = 'linux', 'Mac', 'Window'
    web_frameworks: Sequence[str] = 'flask', 'django', 'vue.js', 'react.js', 'bootstrap', 'and so on' 
    code_quality: Sequence[str] = 'flake8', 'mypy', 'pylint', 'black', 'pydocstyle'
    devops: Sequence[str] = 'jenkins', 'travis', 'docker'
    version_control: Sequence[str] = 'git', 'svn'
    ongoing: Sequence[str] = 'developing own web framework'


@dataclass(frozen=True)
class Social:
    wechat: str = 'rontomai'
    github: str = 'https://www.github.com/llango'
    portfolio: str = 'http://hackerlang.me'
    email: str = '[email protected]'

凉葱落's Projects

abigsurvey

A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ai23projects

alldatapackages

分词、词表、核心词典、停用词、敏感词、问答、问答数据、知识图谱等

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠