#Pattern-recognition
Showing 33 of 33 repositories tagged #pattern-recognition, ranked by stars
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python wrapper for TA-Lib (http://ta-lib.org/).
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Simple and comprehensive tutorials in TensorFlow
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Teaching Materials for Dr. Waleed A. Yousef
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. โญ support visual intelligence development!
Code and datasets for the Tsetlin Machine
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
๐ PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy ๐ฅ
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. โญ support visual intelligence development!
A Python CLI tool to scan, detect, and plot stock chart patterns
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
Hastic data management server for labeling patterns and anomalies in Grafana
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.
๐ A modern port to .NET (C#) of Technical Analysis Library
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Handwritten Kazakh and Russian (HKR) database for text recognition
Google colab's for image processing, pattern recognition and computer vision
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation 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
Thot toolkit for statistical machine translation
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
Foundational library for Kernel methods in pattern analysis and machine learning
Crypto AI Analytics is a sophisticated desktop tool designed for data-driven crypto market analysis and intelligent trend detection.
GSP (Generalized Sequence Pattern) algorithm in Python
Source code of the article Trading Cup and Handles With MarketSmith Pattern Recognition
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A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.
MCP server for Chart Library โ visual chart pattern search engine. Find similar historical stock charts and see what happened next.
Ichimoku Kinko Hyo strategy powered by Quant Connect for Python