xye6

xye6's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.3k4.1k

• chefyuan/algorithm-base

  一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

  10.6k1.6k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k1k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook22.9k4k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell50.1k11.2k

• azl397985856/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  Language:JavaScript54.3k9.4k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• ShadowsocksR-Live/shadowsocksr-native

  翻墙 从容穿越党国敏感日 ShadowsocksR (SSRoT) native implementation for all platforms, GFW terminator

  Language:C2.7k764

• antvis/L7

  🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.

  Language:TypeScript3.6k630

• water8394/flink-recommandSystem-demo

  :helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

  Language:Java4.3k1.4k

• tfolkman/byu_econ_applied_machine_learning

  The course work for the applied machine learning course I am teaching at BYU

  Language:Jupyter Notebook136111

• arundo/adtk

  A Python toolkit for rule-based/unsupervised anomaly detection in time series

  Language:Python1.1k144

• mymmsc/books

  常用书籍

  Language:Java2.2k1k

• qiwsir/algorithm

  Language:Python3.3k1.1k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  174k50.8k

• zxysilent/books

  一些常见的书籍pdf或者视频

  1.4k497

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.2k1.7k

• boringPpl/data-engineer-roadmap

  Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

  897194

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14k3.9k

• eliangcs/pystock-data

  (UNMAINTAINED) US stock market data since 2009

  Language:HTML29595

• lmoroney/dlaicourse

  Notebooks for learning deep learning

  Language:Jupyter Notebook5.7k5.4k

• SahuH/Stock-prediction-XGBoost

  Stock Prediction with XGBoost: A Technical Indicators' approach

  Language:Python2720

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.2k4.5k

• brennerm/PyTricks

  Collection of less popular features and tricks for the Python programming language

  Language:Python3.1k503

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.7k1.5k

• chris1610/pbpython

  Code, Notebooks and Examples from Practical Business Python

  Language:Jupyter Notebook2k987

• borisbanushev/anomaliesinoptions

  In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

  Language:Jupyter Notebook241123

• ziishaned/learn-regex

  Learn regex the easy way

  45.5k6.2k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.3k15k