Simple and comprehensive tutorials in TensorFlow

This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README

night sky, kalman, particle

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!

Open-source and modular toolbox for quantitative soundscape analysis in Python

A python scanner to detect and plot common chart patterns

Code for CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration

An innovative variant of Conway's Game of Life introduces advanced states and specialized rules designed to accurately detect cross-shaped patterns.

PyGrinder grinds data beans into the incomplete by introducing missing values with different missing patterns.

This is a basic implementation of support vector machines(SVMs) and Perceptron for multi classes (MLP) based on their generalized closed form of formulas.

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

[COMCOM 2022] GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is writ…

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

⏱ Original implementations from scratch of timeless classic machine learning algorithms such as KNN, SVM, PCA, Decision Trees, K-means, and more.

Pattern-recognition algorithms and a simple API

KIRun Speed Estimation

A pattern recognition project for image compression using K-Means algorithm, numpy, skimage, matplotlib and PyQt5

End-to-end implementation of the Social Graph Network (SGN), described in the Structural Reasoning for Image-based Social Relation Recognition paper.

LLM-Based Quantitative Trading Python Library