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A fast, minimalist and responsive hugo theme for bloggers.
Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. During this project I design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text Classification and Vector Spaces in NLP This is the first course of the Natural Language Processing Specialization. 1: Logistic Regression for Sentiment Analysis of Tweets Use a simple method to classify positive or negative sentiment in tweets 2: Naïve Bayes for Sentiment Analysis of Tweets Use a more advanced model for sentiment analysis 3: Vector Space Models Use vector space models to discover relationships between words and use principal component analysis (PCA) to reduce the dimensionality of the vector space and visualize those relationships 4: Word Embeddings and Locality Sensitive Hashing for Machine Translation Write a simple English-to-French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbors search
A Cooperative Voice Analysis Repository for Speech Technologies
Electromagnetic Articulography (EMA) scripts for comparisons between TAPAD and CALPOS method with AG500 mcal data
eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
G2P with Tensorflow
Grapheme to phoneme model for PyTorch
This is Miroo Lee's project repo for Data Science (LING 2340). The goal of this project is to investigate how prosody develops in L2 learners' speech by examining temporal modifications of phonetic segments near pauses.
Information theory - Shannon entropy for language
Use this package to compute language entropy from language history data.
Command line utility for forced alignment using Kaldi
MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology (+morpheme segmentation)
Tool to analyze an audio corpora in terms of intonation, intensity, duration and voice quality
Python interface for forced audio alignment using HTK and SoX
Analysis of rapid prosody transcription experiment with Stefan Baumman
A wrassp super-package that re-exports all the functionality of wrassp, and adds the ability to get Praat and MATLAB signals into SSFF format.
streamline acoustic analysis 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.