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Transformer based model for time series prediction
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
R package - Dynamic Ensembles for Time Series Forecasting
trend / momentum and other patterns in financial timeseries
An intuitive library to extract features from time series
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Automatic extraction of relevant features from time series:
A machine learning toolkit dedicated to time-series data
A python library for time-series smoothing and outlier detection in a vectorized way.
This is the repository for Jakob Meldgaard and Alexandros Bøgeskov-Tsoronis master's thesis
A python package for time series forecasting with scikit-learn estimators.
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Technical Analysis Indicator Function Library in C
[NOT ACTIVELY MAINTAINED] Tulipy - Financial Technical Analysis Indicator Library (Python bindings for Tulip Charts)
Install Linux from a running Windows system, without need for a live USB.
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.
Ipython notebooks for math and finance tutorials
腾讯word2vec模型缩小版
Deep Learning Models for Time Series
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Ubuntu qq/微信 script(基于Docker,更加纯净,更加稳定!)
**科学院大学研一课程教材课件共享项目University of Chinese Academy of Sciences postgraduate course textbook sharing project
Content for Udacity's AI in Trading NanoDegree.
Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models
Understanding Deep Learning - Simon J.D. Prince
Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"
[🔥updating ...] 自动量化交易机器人 Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment. https://ufund-me.github.io/Qbot :news: qbot-mini: https://github.com/Charmve/iQuant
Microservices Stack for AlgoTrading
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.