rimiyeyo Goto Github PK

acoustic-features

audio/speech feature extraction using parselmouth, librosa, disvoice

audio-feature-extraction

In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC.

audio-features

Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram

audio-processing

audio-signal-processing-and-feature-extraction

Feature extraction from audio signal (explained in Persian)

audio-speech-classification-models

Neural models for audio/speech classification tasks

awesome-llmops

An awesome & curated list of best LLMOps tools for developers

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

awesomekorean_speech

음성인식과 신호처리

complex_networks

Contain some activations, dropout, BN, LN, Linear, Conv, ConvTranspose, LSTM(LN)

coursera-deep-learning

My notes / works on deep learning from Coursera

cse-summary

컴퓨터 공학에서 다루는 전공 지식들의 요약집 📖

end-to-end-speech-enhancement-based-on-discrete-cosine-transform

hreeeemarina.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

labmlai_annotated_deeplearning_paper_implementation

KOREAN Translation of labmlai/annotated_deep_learning_paper_implementations

lassl

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets

lung-sounds-classification-using-icbhi-data

Classify 4-class and 2-class(abnormal vs normal) lung sounds

momodeep_pytorch

momodeep season2 pytorch tutorial

nlp-with-pytorch

<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.

note

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

scikit-llm

Seamlessly integrate LLMs into scikit-learn.

speech-recognition-examples

Simple Guide How To Build Your Own End-To-End Automatic Speech Recognition System Written In PyTorch

wavenet