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Name: PN
Type: User
Name: PN
Type: User
A collection of data analysis projects done using PySpark via Jupyter notebooks.
Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
Software and tools for setting up and operating a personal compute cluster, with focus on big data.
How to use zip and gzip files in Apache Spark
Sparse and structured neural attention mechanisms
Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019
Implementation of Spectral Inference Networks, ICLR 2019
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
Spyder 3 : Customize for deeplearning
See the development link for contribution guidelines
SQL Alchemy for Aster
A living benchmark framework for symbolic regression
Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
STAN implementation according to paper 'Sequence and Time Aware Neighborhood for Session-based Recommendations'
Learning embeddings for classification, retrieval and ranking.
My IPython startup files.
Stepwise Regression-Python
Generate realizations of stochastic processes in python.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Streamlit — The fastest way to build custom ML tools
cardinality variables
Code and data for paper: https://arxiv.org/abs/1802.07101
code/data for "Structuring Latent Spaces for Stylized Response Generation" (Gao et al., EMNLP'19)
Simplest working implementation of Stylegan2 in Pytorch
Search StackOverflow and paste code snippets without leaving Sublime Text
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.