pattern-recognition
There are 1023 repositories under pattern-recognition topic.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
TA-Lib/ta-lib-python
Python wrapper for TA-Lib (http://ta-lib.org/).
easy-tensorflow/easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
ashvardanian/StringZilla
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Roujack/mathAI
一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
DrWaleedAYousef/Teaching
Teaching Materials for Dr. Waleed A. Yousef
DmitryRyumin/ICCV-2023-Papers
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!
cair/TsetlinMachine
Code and datasets for the Tsetlin Machine
danini/graph-cut-ransac
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
DmitryRyumin/CVPR-2023-24-Papers
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!
keithorange/PatternPy
📈 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 🔥
kkoutini/PaSST
Efficient Training of Audio Transformers with Patchout
iduta/pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
hastic-zzz/hastic-server
Hastic data management server for analyzing patterns and anomalies from Grafana
haoranD/Awesome-Human-Activity-Recognition
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
BennyThadikaran/stock-pattern
A Python CLI tool to scan, detect, and plot stock chart patterns
UdayLab/PAMI
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
p-ranav/glob
Glob for C++17
iduta/iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
HoShiMin/Sig
The most powerful and customizable binary pattern scanner
DoubangoTelecom/compv
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
hastic-zzz/hastic-grafana-app
Hastic data management server for labeling patterns and anomalies in Grafana
seljukgulcan/comparing-trajectory-clustering-methods
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
prophesee-ai/prophesee-automotive-dataset-toolbox
A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
AlvaroCavalcante/auto_annotate
Labeling is boring. Use this tool to speed up your next object detection project!
cair/tmu
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 written in Python with wrappers for C and CUDA-based clause evaluation and updating.
levyfan/reid-mgn
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
RiccardoM/Forex-and-Stock-Python-Pattern-Recognizer
A machine learning program that is able to recognize patterns inside Forex or stock data
MiviaLab/vf3lib
VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
proycon/colibri-core
Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.
diegoinacio/computer-vision-notebooks
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
jajupmochi/graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
xarray-contrib/xeofs
Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
scikit-maad/scikit-maad
Open-source and modular toolbox for quantitative soundscape analysis in Python