bocinfor Goto Github PK

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

core

Source Code for dotCMS Java Enterprise Content Management System

costsensitiveclassification

CostSensitiveClassification Library in Python

d2l-en

An interactive deep learning book with code, math, and discussions.

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

jeesite4

Java EE 企业级快速开发平台，基于经典技术组合（Spring Boot、Spring MVC、Apache Shiro、MyBatis、Beetl、Bootstrap、AdminLTE），在线代码生成功能，包括核心模块如：组织机构、角色用户、菜单及按钮授权、数据权限、系统参数、内容管理、工作流等。采用松耦合设计；界面无刷新，一键换肤；众多账号安全设置，密码策略；在线定时任务配置；支持集群，支持SAAS；支持多数据源

kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

liferay-portal

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

pandoc

Universal markup converter

predictions

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

sketching-with-language

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.