DreamSeeker1's repositories
ML-examples
Arm Machine Learning tutorials and examples
specmix
This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Features"
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
TensorFlowASR
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
leetcode-master
LeetCode 刷题攻略:配思维导图,各个类型的经典题目刷题顺序、经典算法模板,以及详细图解和视频题解。这里精选的题目都不是孤立的,而是由浅入深一脉相承的,相信只要按照刷题攻略上的顺序来学习,一定会有所收获!给个star支持一下吧!
rVADfast
This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.
dcase2020_task2
DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring
dcase2019-task2
Code for freesound audio tagging 2019 on Kaggle, DCASE2019 task2.
freesound-audio-tagging-2019
Kaggle Freesound Audio Tagging 2019 Competition Solution
MixMatch-pytorch
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
ML-KWS-for-MCU-1
Keyword spotting on Arm Cortex-M Microcontrollers
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,近30万字。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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
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
keras
Deep Learning for humans
dcase2018_baseline
DCASE 2018 Baseline system
Get-Pulse-Chinese-webcam-pulse-detector
Get Pulse Chinese version (Forked from thearn/webcam-pulse-detector)
dcase2017_task4_cvssp
code for our 1st prize system to win the DCASE2017 task4 challenge
Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing
Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper
Pronunciation_Prediction_seq2seq
基于seq2seq模型的的字典发音预测
retrain_multi_label
使用迁移训练的方式实现多标签训练
multi_labels
这是一个自己搭建网络,处理数据,实现图像多标签的例子,标签有5个
speech-to-text-wavenet
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
tensorflow
Computation using data flow graphs for scalable machine learning
My-TensorFlow-tutorials
This repo contains all of my TensorFlow tutorials