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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

algorithm_interview_notes-chinese-master

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

allennlp

An open-source NLP research library, built on PyTorch.

aps

My workspace for single/multi-channel speech enhancement & separation & recognition.

asrframe

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

asteroid

The PyTorch-based audio source separation toolkit for researchers

asteroid_gan_exps

GAN experiments with Asteroid

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

bert

TensorFlow code and pre-trained models for BERT

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

bob-plugin-openai-translator

基于 ChatGPT API 的文本翻译、文本润色、语法纠错 Bob 插件，让我们一起迎接不需要巴别塔的新时代！

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

bottlenecktransformers

Bottleneck Transformers for Visual Recognition

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

conferencingspeech2022

Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge in Online Conferencing Applications

conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

conv-tasnet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-clustering

deep clustering method for single-channel speech separation

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deepclustering

Deep Clustering

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dptnet

eend

End-to-End Neural Diarization