#计算机科学#A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
翻译 - 用于可扩展离群值检测(异常检测)的Python工具箱
#计算机科学#Build your neural network easy and fast, 莫烦Python中文教学
#计算机科学#Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
#计算机科学#Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
翻译 - Tensorflow教程从基础到难
#计算机科学#[CVPR2020] Adversarial Latent Autoencoders
翻译 - [CVPR2020]对抗性潜在自动编码器
#自然语言处理#This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such a...
#计算机科学#텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
#计算机科学# Advanced Deep Learning with Keras, published by Packt
翻译 - Packt出版的《 Keras的高级深度学习》
#计算机科学#Use unsupervised and supervised learning to predict stocks
#计算机科学#[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
#自然语言处理#My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
翻译 - Keras和Theano在机器学习,NLP,深度学习和强化学习中的Python代码
#计算机科学#Next RecSys Library
翻译 - 下一个RecSys库
#计算机科学#[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
laravel6和vue-element-admin结合的前后端分离项目模板。包含接口端、管理端、小程序和微信公众号端,绝对是你做外包或者自建项目的首选模板。模板内容包括基础的用户管理和权限管理、日志管理、集成第三方登录,整合workerman框架中的GatewayWorker项目来实现了websocket 做到了消息的实时推送,并在此基础上,实现了聊天室和客服功能;实现低代码开发,能分析数据表内...
#计算机科学#Official implementation of Diffusion Autoencoders
#时序数据库#A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanatio...
#计算机科学#Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
#自然语言处理#TensorFlow and Deep Learning Tutorials
#时序数据库#PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis