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-chanlun

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。

ae_ts

Auto encoder for time series

arxivscraper

A python module to scrape arxiv.org for specific date range and categories

deep-learning

deepresearch

This repository is the collection of research papers in Deep learning, computer vision and NLP.

dell-xps-9560-ubuntu-respin

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

Google Research

graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

hyperbolic-learning

Implementations of Poincaré Embeddings, Hyperbolic Multidimensional Scaling, K-Means clustering, and other machine learning algorithms in hyperbolic space

hyperbolics

Hyperbolic Embeddings

hypere

information-retrieval

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

insight-ai-poincareembeddings

Hierarchical Book Recommendations

learning-wasserstein-embeddings

Keras implementation of Deep Wasserstein Embeddings

lorentz-embeddings

Embed arbitrary graphs in Hyperbolic space

lorentz_embeddings_recreation

A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)

lpproj

Scikit-learn compatible Locality Preserving Projections in Python

manifold-learning

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

opw

Order-preserving Optimal Transport for Distances between Sequences

persim

Distances and representations of persistence diagrams

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

poincare_embeddings

NumPy implementation of Poincaré Embeddings for Learning Hierarchical Representations (Facebook Research)

pot

Python Optimal Transport library

protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

pvae

qc-trading-bot-yt

YouTube series in which I research and code a trading bot in Python. This code is for the trading bot on the QuantConnect platform.

rvsml

Learning Distance for Sequences by Learning a Ground Metric

scikit-tda

Topological Data Analysis for Python🐍