PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
A Python kit corrupts time series into the incomplete by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random) , MNAR (not at random), sub sequence missing, and block missing.
📈 A modern port to .NET (C#) of Technical Analysis Library
Python wrapper for TA-Lib (http:https://ta-lib.org/).
A Python progamm that determines whether a stock has potential to increase its price based on Sentimental Analysis and recent stock patterns/growth.
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Personal Repository for the laboratory of Machine Learning and Pattern Recognition at PoliTo
Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging SWAR and SIMD on Arm Neon and x86 AVX2 & AVX-512-capable chips to accelerate search, sort, edit distances, alignment scores, etc 🦖
Graduation Project
ChartScanAI is an advanced app for detecting patterns in stock and cryptocurrency charts using deep learning and YOLOv8. It automates chart pattern recognition, providing traders with a powerful tool for making informed decisions. Key features include real-time analysis, high accuracy for Buy/Sell signals, and support for various charts.
A python scanner to detect and plot common chart patterns
This project involves fine-tuning a BERT model for detecting 10-digit numbers in video frames. Using PyTorch and Hugging Face's Transformers, the model is trained on labeled text data and real-time pattern detection.
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
night sky, kalman, particle
Simple and comprehensive tutorials in TensorFlow
Sang-Wook's Development and Testing (SWDT)
Project for Pattern Recognition
Teaching Materials for Dr. Waleed A. Yousef
Open-source and modular toolbox for quantitative soundscape analysis in Python
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