li59135016's repositories
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
RMT4ML
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
General
The official registry of general Julia packages
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python-programming-exercises
100+ Python challenging programming exercises
Python-100-Days
Python - 100天从新手到大师
xgboost-doc-zh
XGBoost 中文文档
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
optimum-rlda
runs a database to estimate true error (holdout) by several estimators. Goal is show dasym-est has similar performace to other estimators
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
numpy-ml
Machine learning, in numpy
Phoenix
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
wxFormBuilder
RAD tool for wxWidgets GUI design
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
NLP-Conferences-Code
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
scikit-learn
scikit-learn: machine learning in Python
seaborn-data
Data repository for seaborn examples
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
TDengine
An open-source big data platform designed and optimized for the Internet of Things (IoT).
data_mining_models
Basic data mining model, including feature importance display
Data-Science-Using-Python-University-Course-Module
“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.
probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg)
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
MachineLearning
学习机器学习的路上...
nlp-journey
NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等，涉及到各种与nlp相关的算法，基于tensorflow 2.0。