Topic: financial-machine-learning Goto Github
Some thing interesting about financial-machine-learning
Some thing interesting about financial-machine-learning
financial-machine-learning,Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
User: arasgungore
financial-machine-learning,It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
User: ata-turhan
Home Page: https://www.sciencedirect.com/science/article/pii/S1568494618302151
financial-machine-learning,
User: brycemeng
Home Page: https://zhihu.com/people/QuantM
financial-machine-learning,🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.
Organization: dream-faster
Home Page: https://dream-faster.github.io/fold/
financial-machine-learning,Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.
User: ebrahimpichka
financial-machine-learning,How to use sentiment analysis to predict stock's sentiment
User: enricolatella
financial-machine-learning,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.
Organization: financial-data-science
financial-machine-learning,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.
Organization: financial-data-science
Home Page: http://www.fds.ai
financial-machine-learning,
User: freddyacuna
financial-machine-learning,Slides for the "Detecting Toxic Flow" paper
User: gerdm
Home Page: https://gerdm.github.io/toxic-flow-talk/
financial-machine-learning,Income qualification is the process of verifying if a person or a family meets the financial criteria to receive aid or support from social programs.
User: gitkamo
financial-machine-learning,Quant/Algorithm trading resources with an emphasis on Machine Learning
User: grananqvist
financial-machine-learning,MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Organization: hudson-and-thames
financial-machine-learning,Convex linear models, Linear Regression, Logistic Regression, and Support Vector Machines, to test convexity and performance by using non-linear endogenous features in time series data.
User: iffranciscome
financial-machine-learning,Implementations of Genetic Methods for Financial Machine Learning Applications
User: iffranciscome
financial-machine-learning,Genetic Programming and Neural Networks for Financial Predictive Modeling.
User: iffranciscome
financial-machine-learning,Financial Modelling & Projection and Stock Prices Projection
User: kaninikagendo
financial-machine-learning,Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
User: leonardoberti00
financial-machine-learning,Using ML and DL to predict price of electricity to help in financial trading in decision making
User: lyjjj666
financial-machine-learning,Shortcut Learning in Financial Text Mining @ IEEE BigData 2022
User: matthewcaron
financial-machine-learning,Python library for building financial machine learning models.
Organization: mizarai
Home Page: https://mizar.ai
financial-machine-learning,Detecting Credit Card Fraud
User: mohammedhsaini
financial-machine-learning,A collection of awesome papers, articles and various resources on credit and credit risk modeling
User: mourarthur
financial-machine-learning,This is my GitHib profile page. Feel free to check out the readme file, copy, fork, and use.
User: mustakabsarkhan
Home Page: https://github.com/MustakAbsarKhan
financial-machine-learning,Advanced Financial Machine Learning Toolbox
Organization: neoinvest-ai
financial-machine-learning,Dissertation - Individual (305AAE/306AAE) Project
Organization: pauls-university-projects
financial-machine-learning,2024학년도 1학기 MLfinLab Project Team repository
User: quantifisogang
financial-machine-learning,An R-package of teaching financial machine learning
User: quinfer
financial-machine-learning,Standard & Poor's 500 Financial Analysis
User: rscdev7
financial-machine-learning,AI for Wealth Management - democratizing wealth management for everyone.
User: sameerk22
Home Page: https://lnkd.in/gwPFfNgh
financial-machine-learning,CatBoost trades bonds in PROD
User: sfuller14
financial-machine-learning,A tool to detect whether numerals present in Financial Texts are in-claim or out-of-claim
User: sohomghosh
financial-machine-learning,algorithmic trading using machine learning
User: suchak1
Home Page: https://FORCEPU.SH
financial-machine-learning,Numerai's Next Top Model
User: suud
Home Page: https://nntm.readthedocs.io
financial-machine-learning,A set of financial analytics projects with python.
User: swarnava-96
financial-machine-learning,Implementations for Adances In Financial Machine Learning
User: therockxu
financial-machine-learning,실전 금융 머신러닝 완벽 분석 / Advances in Financial Machine Learning
User: tommylee1013
financial-machine-learning,Causal Factor Investing (Marcos Lopez de Prado, 2023) Workbook
User: tommylee1013
financial-machine-learning,Financial Machine Learning Repository
User: tommylee1013
financial-machine-learning,Machine Learning for Asset Managers (Lopez de Prado, 2019)
User: tommylee1013
financial-machine-learning,Quantifi Sogang
User: tommylee1013
financial-machine-learning,This project implements a financial trading strategy in Julia which nowcast local highs and lows to create trading signals, comparing stable rule set classifiers and gradient boosted tree models for trading performance.
User: vbprojects
financial-machine-learning,Setting up monitor windows to track the stock price movement directions and make prediction on future price movement in a short time.
User: wuyueliuye
financial-machine-learning,Bachelor's thesis for degree in Economics at HSE University, Saint-Petersburg (2022)
User: yuasosnin
financial-machine-learning,Apply a Transformer-based model for financial data prediction.
User: zjc664656505
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