Ming's repositories
aishell_annotation
AISHELL开源数据标注平台,包含语音,图像标注,数据质检,验收,统计等功能.
DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
community
PaddlePaddle Developer Community
Dive-into-DL-PyTorch
本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。
Dummy-Robot
我的超迷你机械臂机器人项目。
ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
espnet
End-to-End Speech Processing Toolkit
FastSpeech
The Implementation of FastSpeech based on pytorch.
FlaskLearn
learning of flask
full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
generators-with-stylegan2
Here is a series of face generators based on StyleGAN2
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
PaddleSpeech
Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
python-wechaty
Python Wechaty is a Conversational RPA SDK for Chatbot Makers written in Python
python-wechaty-plugin-contrib
Wechaty Plugin Ecosystem Contrib Package
RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.