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System design patterns for machine learning
WebApps in pure Python. No JavaScript, HTML and CSS needed
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Rapid fuzzy string matching in Python using various string metrics
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
A Python library for crawling public data from Tefas.
🏅 Collection of Kaggle Solutions and Ideas 🏅
Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
Understanding Deep Learning - Simon J.D. Prince
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
1st place solution for Kaggle "Happywhale - Whale and Dolphin Identification"
TRADING ECONOMICS - API Code Examples
Historical data were gathered from bank customers to determine whether a customer is a good or bad credit risk for a home equity loan. Bad risk customers are more likely to default on the loan.
The "Python Machine Learning (3rd edition)" book code repository
Hacettepe Üniversitesi Yapay Zeka Topluluğu olarak birçok dersi takip ediyoruz veya yapay zeka kodlaması ile ilgili dersler veriyoruz. Bununla birlikte takip edilen dersler ile ilgili atölye çalış…