Stars
Web crawler for Hemnet website with python & scrapy
Autoencoders research: papers + experiments (in TensorFlow)
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Simple Online Realtime Tracking with a Deep Association Metric
Machine Learning University: Decision Trees and Ensemble Methods
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
Point-by-point data for Grand Slams, 2011-current
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
This repository consists of all my Machine Learning Projects.
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Collection of notebooks about quantitative finance, with interactive python code.
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Course material for the PhD course in Advanced Bayesian Learning
Notes from the book 'The Elements of Statistical Learning'
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A Python scraper designed to pull data from HLTV.org and tabulate it into a series of CSV files.
Bayesian Learning course at Stockholm University
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.