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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

audio-super-res

Audio super resolution using neural networks

audio-super-resolution-tensorflow2.0-tfilm

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

cuda-neural-network

Simple neural network implementation using CUDA technology. It is an educational implementation.

cuda_image_filtering_constant

deep-compression-pytorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

deep-learning-tutorials

ML_tutorials

deeplearning

Deep Learning (Python, C/C++, Java)

digital-signal-processing--ecole-polytechnique-federale-de-lausanne---coursera

Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne

dynamic_time_warping

This package implements Dynamic Time Warping (DTW).

e6870

My solution to course E6870 (Speech Recognition) of Columbia University.

get_f0

Pitch tracking algorithm based on David Talkin's RAPT. Code is modified from the ESPS package.

get_f0_snd

David Talkin's pitch tracker, get_f0, modified to be a stand-alone binary using dpwelib for sound I/O

hand-written-digit-recognition

Hand Written Digit Recognition using Convolutional Neural Network

hello-world

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

meta-embeddings

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

ml-sound-classifier

Machine Learning Sound Classifier

noisereduce

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

pitch

a standalone pitch extractor

pitchfilter

Speech enhancement by time-varying pitch-dependent filtering of harmonics

plda

This is a implementation of kaldi-plda.

plotneuralnet

Latex code for making neural networks diagrams

pretrain_speech_model

Speech Model Pre-training for End-to-End Spoken Language Understanding

pyrapt

A pitch tracker inspired by David Talkin's RAPT (Robust Algorithm for Pitch Tracking) written in Python.

pytorch_xvectors

Deep speaker embeddings in PyTorch, including x-vectors

slp2-pdf

Speech and Language Processing, 2nd Edition in PDF format

ssr_eval

Evaluation and Benchmarking of Speech Super-resolution Methods