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100-days-of-ml-code

100 Days of ML Coding

awesome-awesomeness

A curated list of awesome awesomeness

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)

bayesian-statistics-coursera

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

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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

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

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[email protected] 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)

fortran-examples

homeworks and useful examples

hayashi

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

jackfrued-python-100-days

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

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.

msc-financial-econometrics-learning-materials

netron

Visualizer for neural network, deep learning and machine learning models

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。

no.1-08.04-

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-100-days

Python - 100天从新手到大师

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

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tsa-notebooks

Jupyter notebooks on time series econometrics topics.

tslearn

A machine learning toolkit dedicated to time-series data