-
CfA
- Boston, USA
- https://qian-yang.github.io
Starred repositories
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
A Python-based spectral fitting pipeline for analyzing quasar and galaxy spectra
Quasar Photometric Redshifts and Candidate Selection Based on Optical (and Mid-Infrared) Photometric Data
⛽️「算法通关手册」:从零开始的「算法与数据结构」学习教程,200 道「算法面试热门题目」,1000+ 道「LeetCode 题目解析」,持续更新中!
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
hstaxe is the python and C follow on to the aXe package which was maintained in IRAF for many years.
automated photometry pipeline for small to medium-sized observatories
Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://war.ukraine.ua/support-ukraine/
PDF planner with clickable date links created with LaTeX.
Instructions and tutorials for Roman software tools distributed by STScI for the science community
Tools for the Nancy Grace Roman Space Telescope / Wide Field Instrument (WFI) Imaging Mode
GROWTH Target of Opportunity Marshal
dmitryduev / kowalski
Forked from skyportal/kowalskiKowalski: a multi-survey data archive and alert broker for time-domain astronomy
(MOVED) Athena++ GRMHD code and adaptive mesh refinement (AMR) framework. Active repository --->
Comparing Stellar Mass, SFR, Dust, and other outputs from SED fitting codes run on a subset of CANDELS GOODS-S galaxies.
A library of (semi-)empirical SED templates for type-1 AGNs
Synthesizer - a code for creating synthetic astrophysical observables
Updated SIMSTACK, compatible with python 3