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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"。本人可以解决有关缠论的任何问题。 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。
Auto encoder for time series
A python module to scrape arxiv.org for specific date range and categories
This repository is the collection of research papers in Deep learning, computer vision and NLP.
Collection of scripts and tweaks to adapt Ubuntu and Linux Mint ISO images to let them run smooth on Dell XPS 15 9560.
Google Research
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Hyperbolic Graph Convolutional Networks in PyTorch.
Hierarchical Attention Networks for document classification
Implementations of Poincaré Embeddings, Hyperbolic Multidimensional Scaling, K-Means clustering, and other machine learning algorithms in hyperbolic space
Hyperbolic Embeddings
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Hierarchical Book Recommendations
Keras implementation of Deep Wasserstein Embeddings
Embed arbitrary graphs in Hyperbolic space
A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)
Scikit-learn compatible Locality Preserving Projections in Python
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Order-preserving Optimal Transport for Distances between Sequences
Distances and representations of persistence diagrams
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
NumPy implementation of Poincaré Embeddings for Learning Hierarchical Representations (Facebook Research)
Python Optimal Transport library
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
YouTube series in which I research and code a trading bot in Python. This code is for the trading bot on the QuantConnect platform.
Learning Distance for Sequences by Learning a Ground Metric
Topological Data Analysis for Python🐍
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.