rockycamp Goto Github PK
Name: David Watts
Type: User
Location: Australia
Name: David Watts
Type: User
Location: Australia
Auto encoder for time series
Convolutional neural nets for single channel speech enhancement
A Cooperative Voice Analysis Repository for Speech Technologies
Hands-on Deep Reinforcement Learning, published by Packt
Collection of example adapted and modified from the popular DL for Python book from Manning pub
Factor Analysis via Expectation Maximization
Speedy Wavenet generation using dynamic programming :zap:
Pytorch Implementation of FFTNet
A basic implementation of a Maximum Likelihood Estimation of a multivariate Gaussian distribution
As it says
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Manifold learning algorithm
SqueezeNet implementation with Keras Framework
Speech analysis and synthesis using linear predictive coding (LPC) in Matlab
Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
RNN-based generative models for speech.
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
Examples of cleaning up raw voices
Tensorflow implementation of SampleRNN
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
deep learning based speech enhancement using keras python, make it easy to use
MNIST Siamese example for MatConvNet
A Pure-Python Real-Time Audio Library
System for identifying speaker from given speech signal using MFCC,LPC features and Gaussian Mixture Models
Tensorflow implementation of generalized end-to-end loss for speaker verification
A neural network for end-to-end speech denoising
A statistical model-based Speech Enhancement Using MMSE-STSA
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.