Pinned Repositories
Arima
利用时间序列预测汽车销量
ARIMA-1
Simple python example on how to use ARIMA models to analyze and predict time series.
ARIMA-2
ARIMA is a Java open source project dedicated in the study model of ARIMA, AR, MA
ARIMA-And-Seasonal-ARIMA
Barbershop
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
m.Scrapy
django-mysql-scrapy
PodFind
Find what podcasters think of new things: GPT-4, SVB, etc.
Python-Core-50-Courses
Python语言基础50课
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
JuliBeli's Repositories
JuliBeli/m.Scrapy
django-mysql-scrapy
JuliBeli/Arima
利用时间序列预测汽车销量
JuliBeli/ARIMA-1
Simple python example on how to use ARIMA models to analyze and predict time series.
JuliBeli/ARIMA-2
ARIMA is a Java open source project dedicated in the study model of ARIMA, AR, MA
JuliBeli/ARIMA-And-Seasonal-ARIMA
JuliBeli/Barbershop
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
JuliBeli/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
JuliBeli/PodFind
Find what podcasters think of new things: GPT-4, SVB, etc.
JuliBeli/Python-Core-50-Courses
Python语言基础50课
JuliBeli/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
JuliBeli/Queryable
Run OpenAI's CLIP model on iOS to search photos.
JuliBeli/Scrapy-web-crawler
爬取当当畅销榜的内容，写入文档，输出图表
JuliBeli/stock-market-forecasting
Stock market forecasting using the ARIMA model.
JuliBeli/StockProdiction
Stock Prodiction by SVM & ARIMA
JuliBeli/Strong-Web-Crawler
基于C#.NET+PhantomJS+Sellenium的高级网络爬虫程序。可执行Javascript代码、触发各类事件、操纵页面Dom结构。
JuliBeli/stylegan
StyleGAN - Official TensorFlow Implementation
JuliBeli/SVM-Image-Classification
Image Classification with `sklearn.svm`