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Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Preparing for system design interview questions
System design interview for IT company
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Preparation links and resources for system design questions
Python tabular data package.
code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"
Sequence modeling benchmarks and temporal convolutional networks
💯 Materials to help you rock your next coding interview
Tecton's repository of example code. Used with the documentation to execute common workflows.
A library for generalized sequence to sequence models
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for beginners
The repo for the fast and easy guide to the most popular deep learning framework in the world.
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
Code for Tensorflow Machine Learning Cookbook
Toolkit for Machine Learning and Text Generation, in TensorFlow
Toolkit for Machine Learning and Text Generation, in PyTorch
Perl scripts for massaging document collections in various ways to prepare them for topic modelling.
The textbook Computational and Inferentinal Thinking: The Foundations of Data Science
CNN, NLP and MXNet/Gluon demo
2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point
Master the command line, in one page
Exercises for my tutorials on Theano
Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.
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.