1228 Open source projects that are alternatives of or similar to mtss-gan

Synthetic Data Generation for mixed-type, multivariate time series.

GANs for time series generation in pytorch

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.

ARCH models in Python

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Quantitative Financial Modelling Framework

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Investment portfolio and stocks analyzing tools for Python with free historical data

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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MSGARCH R Package

CNN for stock market prediction using raw data & candlestick graph.

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Benchmarking synthetic data generation methods.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Synthetic Data Generation for tabular, relational and time series data.

AtsPy: Automated Time Series Models in Python (by @firmai)

Quantitative systematic trading strategy development and backtesting in Julia

Financial market technical analysis & indicators in Julia

Exact Online (accounting software) REST API Library in Python

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

ZestDB

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

Powerful DDoS Attack

Alpaca Trading API integrated with backtrader

Round-up your Starling Bank transactions and transfer the proceeds to a savings goal

Technical analysis library for Rust language

Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

30 Days GANs Paper Reading

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

📉 金融文本情感分析模型

Synthetic Minority Over-Sampling Technique for Regression

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

Technical analysis and other functions to construct technical trading rules with R

List of inspiring articles, blogs, tutorials and books. Tech stuff.

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

A trading robot, that can submit basic orders in an automated fashion using the TD API.

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

High-performance TensorFlow library for quantitative finance.

A collection of resources for pulling real-time streaming data off of TDAmeritrade's ThinkOrSwim(TOS) platform; providing C, C++, Java and Python interfaces.

Assessing Generative Models via Precision and Recall (official repository)

GDAX data for Pandas in the style of DataReader

A personal finance tool in PHP

Armbian automated testings

Pure-python FinTS (formerly known as HBCI) implementation

基于Python的开源量化交易平台开发框架

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.