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算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
Binarized Neural Network (BNN) for pytorch
CNN to recognize speaker on a spoken numbers dataset
This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
CNN acceleration on virtex-7 FPGA with verilog HDL
Code and models for evaluating a state-of-the-art lip reading network
Python codes for Lite Audio-Visual Speech Enhancement.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
MIPS CPU implemented in Verilog
Noise15 , Noisex-92 and Nonspeech
phy: interactive visualization and manual spike sorting of large-scale ephys data
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.
Recurrent neural network for audio noise reduction
Tensorflow implementation of generalized end-to-end loss for speaker verification
Deep learning for audio denoising
A must-read paper for speech separation based on neural networks
Code of my WeChat Offical Account
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
Sequence modeling benchmarks and temporal convolutional networks
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
PyTorch Implementation of XNOR-Net
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.