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Example projects for Scala Reactive Programming (SRP)
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Main repository for STAT 545 @ University of British Columbia, a course in data wrangling, exploration, and analysis with R.
Development and Errata for the book
Where I work through the SAS exercises in Applied Statistics and the SAS programming language
Statsmodels: statistical modeling and econometrics in Python
code for my "stupid itertools tricks" talk from pydata seattle 2015
Style guides for Google-originated open-source projects
Streaming MapReduce with Scalding and Storm
Materials for the Supercomputing 2016 tutorial on high performance Python
SXKDVM - OSX Docker KVM / Run an OSX KVM virtual machine inside a Docker container.
Syntactic analysis toolkit, language-agnostic parser generator.
Enhanced scatter plots for exploratory analysis with Tableau and R.
matlab code for convex optimization based tensor decomposition (completion/denoising)
Computation using data flow graphs for scalable machine learning
NLP, NLTK, Text Classification, Naive Bayes, SVM, LDA
Text to image synthesis using thought vectors
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Neural network models for identification of gender based on spoken dialogue
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
Detect text reuse and document similarity
基于Tensorflow的常用模型,包括分类分割、新型激活、卷积模块,可在Tensorflow2.X下运行。
Deep learning library featuring a higher-level API for TensorFlow.
A quick intro into Theano and Lasagne
a collection of python notebooks going through the Theano tutorial
Jupyter Notebooks derived from Allen Downey's book Think Bayes.
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Always be improving. A small list of shit I learned.
A toolkit for working with time series in R
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.