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100-days-of-ml-code

100 Days of ML Coding

a-philosophy-of-software-design-zh

《软件设计的哲学》中文翻译 A Philosophy of Software Design

ai_ml_dataanalysis_datavisualization_classic-examples

关于AI,ML,DA,DV等的几个经典案例，包括堵车模拟(NagelSchreckenberg)、蒙特卡洛排队问题(Monte Carlo Queuing Problem)、人脸识别(RecognitionFace)、遗传算法推断图像(IconGenetic)

andrew-ng-meachine-learning

coursera中Andrew Ng的meachine learning的所有编程测验的原文件

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

bids

A Brief Introduction to Data Structures

bike-share-data-best-practices

This repo is designed to gather bike share data best practices AND socialize a list of open and free tools to hack on bike share data. This grows from Council Member Brad Lander introducing Int. No 1117-2013 on 24 July 2013. This is a local law to amend the administrative code of the City of New York, in relation to requiring the complication of Citi Bike usage data.

blockchain_guide

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

buskit

A simple bus simulation environment for bus bunching analysis in New York City

cg-based-choice-models

Multinomial Logit

city-vein

Urban structure characterized by public lines

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

daysim

DaySim Activity-Based Model

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning-illustrated

Deep Learning Illustrated (2019)

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.

ebook-linear_programming

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

follownet

Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"

goc-evrptw

JD 城市物流运输车辆智能调度

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.

how-to-research

This is the repository for how to research.

httpx

A next generation HTTP client for Python. 🦋

icra2022-paper-list

https://www.icra2022.org/

joyful-pandas

pandas中文教程

latex-examples

Examples for the usage of LaTeX

learing-drl-by-pytorch-cookbook

本书作者是来自日本的Yutaro Ogawa(小川熊太郎），作者的github上源码是日文注释的，这个repository把它翻译成中文

lihang-code

《统计学习方法》的代码实现