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algorithm_interview_notes-chinese

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

asr

asr-for-chinese-pipeline

Google Summer of Code 2018 Project: Automatic Speech Recognition for Speech-to-Text on Chinese

asr-with-dfcnn-and-transformer

Speech Recognition with DFCNN and Transformer

asr_course

ASR course at Chula 2018

asr_syllable

基于卷积神经网络的语音识别声学模型的研究

asr_theory

中文语音识别理论，包括研一与研二上学期间所学，论文和PPT

asrdeepspeech

Automatic Speech Recognition with deepspeech2 model in pytorch

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

attention-is-all-you-need-pytorch

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

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-interview

Collection of awesome interview references.

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

awesome-model-compression-and-acceleration-1

awesome-pruning

A curated list of neural network pruning resources.

awesome-speech-recognition-speech-synthesis-papers

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

bit-rnn

Quantize weights and activations in Recurrent Neural Networks.

brevitas

Training-aware quantization in Pytorch

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

contextnet

Tensorflow2 based implementation of ContextNet, an improved convolutional rnn-transducer-based architecture for end-to-end speech recognition using global context

ctc-asr

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

cvpr2019-code

CVPR 2019 Paper with Code

data-structures-and-algorithms-in-python

my solutions to the exercises in book Data Structures and Algorithms in Python

data-structures-and-algorithms-in-python-1

"Data Structures and Algorithms in Python" is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches.

data-structures-and-algorithms-in-python-2

This repository contains solutions to end of chapter exercises in the book on "Data Structures and Algorithms in Python"

deep-speech-compression

Compress Deep ASR models via Teacher-Student Training

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

dfsmn

Deep Feedforward sequential memory networks(FSMN)