GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → NLP-LOVE → Ml Nlp

NLP-LOVE / Ml Nlp

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。

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language
shell
77523 projects

Labels

deep-learningmachine-learningnlp

Projects that are alternatives of or similar to Ml Nlp

Stock Market Analysis
Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Credit Card Score
基于Python的申请信用评分卡模型分析
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Tensorflow deep taylor lrp
Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Deepbake
Baking Machine Learning into Great British Bake Off
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Sru Deeplearning Workshop
دوره 12 ساعته یادگیری عمیق با چارچوب Keras
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Sdc course
Short course about self-driving cars
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Pytransit
Fast and easy exoplanet transit light curve modelling.
Stars: ✭ 65 (-99.4%)
Mutual labels:  jupyter-notebook
Web develop
《Python Web开发实战》书中源码
Stars: ✭ 1,146 (-89.41%)
Mutual labels:  jupyter-notebook
Bayesian Analysis With Python Second Edition
Bayesian Analysis with Python - Second Edition, published by Packt
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Pandas Tutorial
Tutorial on Using Pandas
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Deeplearning
Deep Learning From Scratch
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Pytorch Lrp
Basic LRP implementation in PyTorch
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Introduction To Data Science
本Repository为中国人民大学朝乐门老师开源课程——《数据科学导论》
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
C9 Dev Intro Data Science
Sample code for Channel 9 Python for Beginners course
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Emotiw2016
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Covid 19 Detection Flask App Based On Chest X Rays And Ct Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
448project
High Frequency Trading
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Jupyter Themes
Custom Jupyter Notebook Themes
Stars: ✭ 8,879 (-17.98%)
Mutual labels:  jupyter-notebook
Jupyter tfbook
Jupyter Notebooks for TensorFlow Book
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
Short Text Classification
SVM, FastText, TextCNN, BiGRU, CNN-BiGRU在短分本分类上的对比
Stars: ✭ 66 (-99.39%)
Mutual labels:  jupyter-notebook
View All Similar Projects ➔

项目介绍

  • 此项目是机器学习、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。
  • 既然是以面试为主要目的，亦不可以篇概全，请谅解，有问题可提出。
  • 此项目以各个模块为切入点，让大家有一个清晰的知识体系。
  • 此项目亦可拿来常读、常记以及面试时复习之用。
  • 每一章里的问题都是面试时有可能问到的知识点，如有遗漏可联系我进行补充，结尾处都有算法的实战代码案例。
  • 思维导图，请关注 AIArea 公众号并回复：NLP思维导图 ，即能下载高清大图。

目录

  • 项目持续更新中......
模块 章节 负责人(GitHub) 联系QQ
机器学习 1. 线性回归(Liner Regression) @mantchs 448966528
机器学习 2. 逻辑回归(Logistics Regression) @mantchs 448966528
机器学习 3. 决策树(Desision Tree) @mantchs 448966528
机器学习 3.1 随机森林(Random Forest) @mantchs 448966528
机器学习 3.2 梯度提升决策树(GBDT) @mantchs 448966528
机器学习 3.3 XGBoost @mantchs 448966528
机器学习 3.4 LightGBM @mantchs 448966528
机器学习 4. 支持向量机(SVM) @mantchs 448966528
机器学习 5. 概率图模型(Probabilistic Graphical Model)
机器学习 5.1 贝叶斯网络(Bayesian Network) @mantchs 448966528
机器学习 5.2 马尔科夫(Markov) @mantchs 448966528
机器学习 5.3 主题模型(Topic Model) @mantchs 448966528
机器学习 6.最大期望算法(EM) @mantchs 448966528
机器学习 7.聚类(Clustering) @mantchs 448966528
机器学习 8.ML特征工程和优化方法 @mantchs 448966528
机器学习 9.K近邻算法(KNN) @mantchs 448966528
深度学习 10.神经网络(Neural Network) @mantchs 448966528
深度学习 11. 卷积神经网络(CNN) @mantchs 448966528
深度学习 12. 循环神经网络(RNN) @mantchs 448966528
深度学习 12.1 门控循环单元(GRU) @mantchs 448966528
深度学习 12.2 长短期记忆(LSTM) @mantchs 448966528
深度学习 13.迁移学习(Transfer) @mantchs 448966528
深度学习 14.强化学习(Reinforcement) & 多任务 @mantchs 448966528
深度学习 15. 深度学习的优化方法 @mantchs 448966528
NLP 16. 自然语言处理(NLP) @mantchs 448966528
NLP 16.1 词嵌入(Word2Vec) @mantchs 448966528
NLP 16.2 子词嵌入(fastText) @mantchs 448966528
NLP 16.3 全局向量词嵌入(GloVe) @mantchs 448966528
NLP 16.4 textRNN & textCNN @mantchs 448966528
NLP 16.5 序列到序列模型(seq2seq) @mantchs 448966528
NLP 16.6 注意力机制(Attention Mechanism) @mantchs 448966528
NLP 16.7 Transformer模型 @mantchs 448966528
NLP 16.8 BERT模型 @mantchs 448966528
NLP 16.9 XLNet模型 @mantchs 448966528
项目 17. 推荐系统(Recommendation System) @mantchs 448966528
项目 18. 智能客服(Intelligent Customer Service) @mantchs 448966528
项目 19. 知识图谱(Knowledge Graph)
项目 20. 评论分析

欢迎大家加入！共同完善此项目！NLP学习QQ2群【207576902】NLP学习群②

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].