Rickchen0910's repositories
awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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。
Python-100-Days
Python - 100天从新手到大师
statsmodels
Statsmodels: statistical modeling and econometrics in Python
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-awesomeness
A curated list of awesome awesomeness
bayesian-statistics-coursera
Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz
Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
hayashi
Answers to review questions and analytical exercises of the Econometrics (Hayashi, 2000) textbook.
linearmodels
Add linear models including instrumental variable and panel data models that are missing from statsmodels.
load_forecasting
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
netron
Visualizer for neural network, deep learning and machine learning models
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
PhD-Supervision-Related-Materials
This is a repository about my PhD progression
PRMLT
Matlab code for machine learning algorithms in book PRML
python-introduction
A set of notebooks the provide an introduction to Python.
rbook
Source files for "Learning Statistics with R"
Rickchen0910.github.io
Hexo Blog
stata-latex-workflows
Stata Workflows for LaTeX Output
tsa-notebooks
Jupyter notebooks on time series econometrics topics.
tslearn
A machine learning toolkit dedicated to time-series data
Tutorials
Code for all my tutorials