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Location: New York
Type: User
Location: New York
市场数据收集, Collect market data for quant analytics
The Gospel According to Markov
An implemented a Nondeterministic Finite Automaton to replicate various literary works where our program output is based on stochastic production laws designed according to chain frequencies within any given text file. For the purpose of example our production schematic is used to produce replicas of such stories as To Kill a Mockingbird and multiple Shakespearean plays. The purpose of this write up is then to demonstrate how this automaton was implemented, what possible alterations can be made to achieve other simple computational models, and the possible advantages/disadvantages they may provide in trying to replicate human writing. More specifically it is shown that our Nondeterministic Finite Automaton, based on Markov chain production rules can be interpreted as a context free grammar and can be easily altered into a Context Sensitive Grammar for various applications or improvement in certain areas.
markov clustering in python
An exercise creating a markov chain class, and some examples using it.
Python implementation of Markov Networks for neural computing.
144 years of marriage and divorce in 1 chart
Cohort 15 Capstone Project for the Certificate of Data Science at Georgetown University School of Continuing Studies.
Repository for a project using NSFG data to explore marriage patterns in the US.
Using FC-ANN, 1D-CNN and LSTM for classifying martial arts movements.
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
Precinct-level results for the 2018 gubernatorial general election in Maryland https://www.baltimoresun.com/news/maryland/politics/bs-md-governor-election-precinct-map-20181107-htmlstory.html
Motif-Aware State Assignment in Noisy Time Series Data
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
End-to-end trainable mask generation
MaskGen with ADVENT as DA method
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Scripts to pre/post-process masks
Programmatically edit text files with Python. Useful for source to source transformations.
Visualize Valgrind Massif memory consumption online.
Short and sweet examples and recipes for Python programming relevant to software engineering interviews, data science, and machine learning.
Resources for the IASD master from Criteo
Mastering Microsoft Power BI, published By Packt
Mastering Python for Finance
Sources codes for: Mastering Python for Finance, Second Edition
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.