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Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A step-by-step guide to get started with Applied Machine Learning
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Ultimate Guide to Data Science Interview
List of Computer Science courses with video lectures.
CS224D Assignments
Stanford CS231n Convolutional Neural Networks for Visual Recognition Assignments
Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A mindmap summarising Deep Learning concepts.
提供券银河/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
Google Colab Tutorials for IBM3202
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Inner- and Outer Recursive Neural Networks for Chemoinformatics
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Answers for all 153 database questions on LeetCode [Update on 2021/04/03]
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
All Algorithms implemented in Python
Python - 100天从新手到大师
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics
Models built with TensorFlow
Classifying White Blood Cells with CNNs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.