haoyz

LISNN

Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition."

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

arcface-pytorch

BERT-pytorch

Google AI 2018 BERT pytorch implementation

BP-for-SpikingNN

Spatio-temporal BP for SNNs

Conv-TasNet

sym-STDP-SNN

Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"

WASE

Refactoring older code of aispeech-lab/WASE.

haoyz/sym-STDP-SNN

Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"

haoyz/WASE

Refactoring older code of aispeech-lab/WASE.

haoyz/acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

haoyz/Conv-TasNet

haoyz/CSOL_TPAMI2021

haoyz/denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

haoyz/dual-path-RNNs-DPRNNs-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

haoyz/espnet

End-to-End Speech Processing Toolkit

haoyz/google-research

Google Research

haoyz/Looking-to-Listen-at-the-Cocktail-Party

Executable code based on Google articles

haoyz/neurst

Neural end-to-end Speech Translation Toolkit

haoyz/performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

haoyz/PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

haoyz/pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

haoyz/pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

haoyz/quantization-networks-cifar10

A re-implementation of the CVPR19 paper Quantization Networks on CIFAR-10, MNIST and ImageNet

haoyz/rnn-transducer

A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition

haoyz/SincNet

SincNet is a neural architecture for efficiently processing raw audio samples.

haoyz/speaker_extraction

target speaker extraction and verification for multi-talker speech

haoyz/Speech-Separation-Paper-Tutorial

A must-read paper for speech separation based on neural networks

haoyz/Speech-Transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

haoyz/spleeter

Deezer source separation library including pretrained models.

haoyz/TAC

transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

haoyz/TensorflowASR

haoyz/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

haoyz/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

haoyz/uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

haoyz/Video-LLaMA

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

haoyz/video2frame

Yet another easy-to-use tool to extract frames from videos, for deep learning and computer vision.

haoyz/voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system