Rickchen0910's repositories

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PhD-Supervision-Related-Materials

This is a repository about my PhD progression

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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)

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awesome-awesomeness

A curated list of awesome awesomeness

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linearmodels

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

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100-Days-Of-ML-Code

100 Days of ML Coding

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tslearn

A machine learning toolkit dedicated to time-series data

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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。

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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.

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BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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netron

Visualizer for neural network, deep learning and machine learning models

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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rbook

Source files for "Learning Statistics with R"

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Python-100-Days

Python - 100天从新手到大师

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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.

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python-introduction

A set of notebooks the provide an introduction to Python.

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Tutorials

Code for all my tutorials

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load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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EconometricsWithR

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

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stata-latex-workflows

Stata Workflows for LaTeX Output

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PRMLT

Matlab code for machine learning algorithms in book PRML

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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

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paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

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tsa-notebooks

Jupyter notebooks on time series econometrics topics.

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hayashi

Answers to review questions and analytical exercises of the Econometrics (Hayashi, 2000) textbook.

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bayesian-statistics-coursera

Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

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