sandy4321 Goto Github PK
Type: User
Type: User
Python / Pandas analysis of NBA two-for-one shooting
Humble stats module featuring machine learning and specializing in discrete data
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Python package for Neural Networks
Automatically exported from code.google.com/p/pynnet
Python Productivity for ZYNQ
PYNQ Bootcamp 2019 teaching materials.
A Python implementation of a simple Evolutionary Algorithm solver for the N-Queens problem
Python Obfuscator & Packer
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
The main repository for the Pyomo optimization modeling software.
A collection of Pyomo examples
A utility to read and write PDFs with Python
A package to extract tables from pdf files.
Convert text from PDF to XML.
Python interface for adding figures to Microsoft PowerPoint presentations on-the-fly.
pyprefixspan - Python implementation for the algorithm PrefixSpan (Prefix-projected Sequential Pattern mining).
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
Regularized kernel canonical correlation analysis in Python
Generate reports out of python scripts
Python tools for analysis of neurophysiology data
Python package for covariance matrices manipulation and Biosignal classification
Python bindings for RNNLIB
Deep universal probabilistic programming with Python and PyTorch
Supervised forecasting of sequential data in Python.
Various Algorithms for Short Text Categorization
This library reads and writes ESRI Shapefiles in pure Python.
simple python interface to SMAC.
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.