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Name: SL
Type: User
Company: VS
Location: Paris
Name: SL
Type: User
Company: VS
Location: Paris
Scikit-learn website hosted by github
A library to handle time series in NumPy/SciPy
A game theoretic approach to explain the output of any machine learning model.
Script to configure a cloud server to build the documentation and plots and update the sklearn website
Repository containing files for my PyCon 2014 scikit-learn tutorial.
slot filling, intent detection, joint training, ATIS & SNIPS datasets, MIT corpus, ELMo, BERT, XLNet
Sparse multi-dimensional arrays for the PyData ecosystem
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
《统计学习方法》笔记-基于Python算法实现
PyData's fork of Pinax's symposion. See https://github.com/pydata/conf_site/.
TensorFlow's Visualization Toolkit
An Open Source Machine Learning Framework for Everyone
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
TensorFlow/TensorRT integration
A CI/CD production ready pipeline for a python flask application using the DevOps tools: git for code repository, docker and docker hub for building and storing the flask application, Jenkins pipeline for continuous integration, ansible for infrastructure provisioning and Kubernetes to launch flask app in a cluster, ELK stack -monitoring.
Introduction to web scraping and text mining
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Python helpers to limit the number of threads used in threadpool-backed parallelism for C-libraries
Research Framework for easy and efficient training of GANs based on Pytorch
Python extension for Visual Studio Code
List of 300 VueJS Interview Questions And Answers
A basic Python web app with a functioning Jenkins CI/CD pipeline
Script to help maintain a wheelhouse folder on a cloud storage.
N-D labeled arrays and datasets in Python
Data repository for xarray examples
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.