djangu-algo Goto Github PK
Name: Denys Smerchanskyi
Type: User
Name: Denys Smerchanskyi
Type: User
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
Features and labels engineering of raw data of quotes of several stocks.
Adaptive LSTM from Breaking the Activation Function Bottleneck Through Adaptive Parameterization (https://arxiv.org/abs/1805.08574)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Python implementation of ARFIMA process with an aim to simulate series.
How to Ingesting Your Own Zipline Data Bundle
Toolbox I for asset comparison. Visualization - Volatility - Scatter Matrix - Correlation Coefficient - Regression Analysis I
List of awesome resources for machine learning-based algorithmic trading
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A curated list of topological data analysis (TDA) resources and links.
Resources for working with time series and sequence data
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Yuqi's 513 project
Methods to get the probability of a changepoint in a time series.
Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)
Python implementation of Bayesian online changepoint detection
Course Reader based on Jupyter-Book
Detection of favorable moments in time series data
Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Parses historical and current CFTC Commitments of Traders reports into easy-to-use pandas dataframes
Conformal Prediction - A Practical Guide with MAPIE
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.