Sprinterzzj

Sprinterzzj's Stars

• AobingJava/JavaFamily

  【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

  36.1k1.1k627.8k

• chiphuyen/stanford-tensorflow-tutorials

  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

  Language:Python10.3k6221084.3k

• miloyip/json-tutorial

  从零开始的 JSON 库教程

  Language:C7.7k2131634.3k

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k43405.5k

• yandexdataschool/Practical_RL

  A course in reinforcement learning in the wild

  Language:Jupyter Notebook5.9k2091861.7k

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k76962753

• AnkerLeng/Cpp-0-1-Resource

  C++ 匠心之作 从0到1入门资料

  Language:C++3.2k7691.2k

• puncsky/system-design-and-architecture

  Learn how to design large-scale systems. Prep for the system design interview.

  Language:Makefile2.6k9826587

• apachecn/fe4ml-zh

  :book: [译] 面向机器学习的特征工程

  Language:JavaScript2.5k1103677

• airbnb/swift

  Airbnb's Swift Style Guide

  Language:Markdown2.4k470320

• mGalarnyk/datasciencecoursera

  Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

  Language:HTML2.2k12392.1k

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.2k6625556

• pkmital/CADL

  ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

  Language:Jupyter Notebook1.5k11737732

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.2k26141191

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k3728303

• Pysamlam/Tips-of-Feature-engineering

  A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

  673335174

• Azure/DeepLearningForTimeSeriesForecasting

  A tutorial demonstrating how to implement deep learning models for time series forecasting

  Language:Jupyter Notebook656514282

• rapidsai/cuspatial

  CUDA-accelerated GIS and spatiotemporal algorithms

  Language:Jupyter Notebook61533448154

• bighuang624/Time-Series-Papers

  List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

  47221199

• alecjacobson/geometry-processing-csc2520

  Course Page for Geometry Processing

  Language:MATLAB35217139

• finlay-liu/kaggle_public

  阿水的数据竞赛开源分支

  Language:Jupyter Notebook349910111

• machinelearningnanodegree/stanford-cs231

  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

  Language:Jupyter Notebook259251118

• mfarragher/appelpy

  Applied Econometrics Library for Python

  Language:Python1722015

• gdikov/hypertunity

  A toolset for black-box hyperparameter optimisation.

  Language:Python1369210

• P7h/IntroToHadoopAndMR__Udacity_Course

  :elephant: Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"

  Language:Java11712082

• kellty/multiSTAT

  Applied Multivariate Statistical Analysis | PKU 2019 Fall

  901016

• rflamary/OTML_DS3_2018

  Practical sessions for the Optimal Transport and Machine learning course at DS3 2018

  Language:Jupyter Notebook8710130

• jiangzhongkai/CCF-2018-TeleCOM

  CCF2018 数据挖掘 机器学习 智能匹配 特征工程

  Language:Python470112

• charlieblue17/timeseries2018

  Course page for DS-GA 3001.001 Modeling Time Series Data

  Language:Jupyter Notebook4336

• limiao2/CS412-Introduction-to-Data-Mining

  CS412-Introduction-to-Data-Mining

  Language:C13206