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缠论量化,人类历史上第一个数学上可以严格证明的技术分析策略,包含严格笔,线段作为最低级别,中枢的构成,级别的扩展,第一二三类买卖点,同级别分解的,背驰的判断,区间套,需要技术合作的加微信17866148858,备注"github"。走势分解例子在readme,因海外通达信无法方便接收实时行情,用大智慧制作的走势分解程序,减轻脑力工作量。因时间有限只和有缠论技术基础的人交流。可解决比如走势递归的划分,如何同级别分解,二买三买的低点到底当下如何判断在何处,小转大的程序判断等问题。用缠论主观交易就能稳定赚钱。只有用缠论主观交易能挣钱的人,才有可能量化交易也挣钱。何次交易,本人都可以明确在当下,不知道后续走势的情况下指出其错误所在,从而在当时避免错误。如果交易能亏损很多,用亏损的钱的十分之一学习到能避免重复的亏损的问题,大大的值得了。 缠论的难点在于,同级别分解如何分解,同级别分解的多义性,背驰力度的计算,小转大卖点的处理,跳空等极端走势对走势划分的影响,卖点比买点级别小的把握,中枢震荡的操作,如何规避T+1,等等。
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
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/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Convolution dictionary learning for time-series
Artificial neural networks for brain networks
Advanced Normalization Tools (ANTs)
Advanced Normalization Tools in Python
Medical image analysis framework merging ANTsPy and deep learning
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
AutoGluon: AutoML Toolkit for Deep Learning
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
Automated rejection and repair of bad trials/sensors in M/EEG
This repo includes ChatGPT prompt curation to use ChatGPT better.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome deep learning applications in the field of neurological image analysis
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Connectivity toolbox
Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans
Tool for MEEG data processing based on Brain Connectivity Variable Resolution Tomographic Analysis (BC-VARETA) Model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.