Topic: pattern-recognition Goto Github

👇 Here are 819 public repositories matching this topic...

alvarocavalcante / auto_annotate
pattern-recognition,Labeling is boring. Use this tool to speed up your next object detection project!
User: alvarocavalcante
Home Page: https://medium.com/p/acf410a600b8#9e0e-aaa30a9f4b7a
tensorflow labeling-tool object-detection annotation-tool computer-vision dataset-generation pattern-recognition python python3 semi-supervised-learning

aoso3 / real-time-abnormal-events-detection-and-tracking-in-surveillance-system
pattern-recognition,The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.
User: aoso3
abnormal-behaviors abnormal-events-detection influence machine-learning motion motion-influence-map motion-information multi-camera-tracking optical-flow pattern-recognition real-time

ashvardanian / stringzilla
pattern-recognition,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 🦖
User: ashvardanian
Home Page: https://ashvardanian.com/posts/stringzilla/
simd csv dataset ndjson string string-manipulation string-matching substring information-retrieval sorting-algorithms

benedekrozemberczki / tene
pattern-recognition,A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
deep-learning network-embedding machine-learning node-embedding attributed-embedding deepwalk node2vec graph-convolution graph-neural-network matrix-factorization

bennythadikaran / stock-pattern
pattern-recognition,A python scanner to detect and plot common chart patterns
User: bennythadikaran
chart-patterns mplfinance pattern-matching pattern-recognition stock-market stock-trading pattern-detection stock-scanner

boris-kz / cogalg
pattern-recognition,This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
User: boris-kz
Home Page: http://www.cognitivealgorithm.info
computer-vision deep-learning image-recognition pattern-recognition

cair / fast-tsetlin-machine-with-mnist-demo
pattern-recognition, A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
Organization: cair
tsetlin-machine mnist bitwise-operators rule-based explainable-ai pattern-recognition machine-learning artificial-intelligence frequent-pattern-mining

cair / tmu
pattern-recognition,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.
Organization: cair
Home Page: https://pypi.org/project/tmu/
tsetlin-machine convolution regression multi-output pattern-recognition propositional-logic relational-logic cuda gpu incremental

cair / tsetlinmachine
pattern-recognition,Code and datasets for the Tsetlin Machine
Organization: cair
Home Page: https://arxiv.org/abs/1804.01508
tsetlin-machine machine-learning game-theory propositional-logic pattern-recognition bandit-learning frequent-pattern-mining learning-automata

danini / graph-cut-ransac
pattern-recognition,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
User: danini
graph-cut-ransac robust-estimators computer-vision ransac pattern-recognition robust fundamental-matrix homography essential-matrix

diegoinacio / computer-vision-notebooks
pattern-recognition,👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
User: diegoinacio
Home Page: https://diegoinacio.github.io/computer-vision-notebooks/
computer-vision pattern-recognition image-analysis image-processing digital-image-processing signal-processing digital-signal-processing computer-graphics scientific-visualization mathematics

dmitryryumin / cvpr-2023-24-papers
pattern-recognition,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!
User: dmitryryumin
Home Page: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
action-recognition autonomous-driving biometrics computer-vision cvpr cvpr2023 datasets deep-learning face-recognition gesture-recognition

dmitryryumin / iccv-2023-papers
pattern-recognition,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!
User: dmitryryumin
Home Page: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
iccv iccv2023 3d-graphics 3d-reconstruction biometrics computer-vision datasets deep-learning explainable-ai face-recognition

doubangotelecom / compv
pattern-recognition,Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
User: doubangotelecom
Home Page: https://doubango.org
computer-vision artificial-intelligence artificial-neural-networks machine-learning ocr-recognition text-recognition neural-network support-vector-machines boosting adaboost

drwaleedayousef / teaching
pattern-recognition,Teaching Materials for Dr. Waleed A. Yousef
User: drwaleedayousef
Home Page: http://www.wy.helwan.edu.eg
analysis-of-algorithms computer-science data-science data-structures data-visualization digital-design discrete-mathematics image-processing linear-algebra logic-design machine-learning mathematics optimization pattern-recognition probability programming statistical-learning statistical-models statistics

easy-tensorflow / easy-tensorflow
pattern-recognition,Simple and comprehensive tutorials in TensorFlow
Organization: easy-tensorflow
Home Page: http://www.easy-tensorflow.com
deep-learning tensorflow reinforcement-learning machine-learning pattern-recognition object-detection python convolutional-neural-networks recurrent-neural-networks neural-network

ex-punctis / not-so-random
pattern-recognition,A script [js + plotly.js] that guesses your next input no matter how random you try to be
User: ex-punctis
randomness randomness-testing psychology-experiments predictability pattern-recognition

gerdm / prml
pattern-recognition,Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
User: gerdm
machine-learning prml bayesian-statistics python pattern-recognition

haochen-wang409 / hpm
pattern-recognition,[CVPR'23] Hard Patches Mining for Masked Image Modeling
User: haochen-wang409
Home Page: https://arxiv.org/pdf/2304.05919.pdf
ade20k coco computer-vision cvpr2023 imagenet masked-autoencoder masked-image-modeling pattern-recognition self-supervised-learning unsupervised-learning

haorand / awesome-human-activity-recognition
pattern-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.
User: haorand
human-activity-recognition ubicomp paper recognition activity-recognition ubiquitous-computing deeplearning pattern-recognition signal-analysis awasome

hastic-zzz / hastic-grafana-app
pattern-recognition,Hastic data management server for labeling patterns and anomalies in Grafana
Organization: hastic-zzz
Home Page: https://hastic.io
timeseries monitoring grafana grafana-plugin visualization anomaly-detection pattern-recognition self-hosted detect-anomalies metrics

hastic-zzz / hastic-server
pattern-recognition,Hastic data management server for analyzing patterns and anomalies from Grafana
Organization: hastic-zzz
timeseries analytics anomaly-detection monitor monitoring-server hastic-server alerting pattern-recognition selfhosted self-hosted docker grafana pattern-detection monitoring-tool monitoring prometheus graphite influxdb elasticsearch metrics

higra / higra
pattern-recognition,Hierarchical Graph Analysis
Organization: higra
hierarchical-graph-analysis python cpp graph pattern-recognition machine-learning hacktoberfest

hmg3 / ta-lib.netcore
pattern-recognition,📈 A modern port to .NET (C#) of Technical Analysis Library
User: hmg3
Home Page: https://hmg3.github.io/TaTooIne
talib csharp technical-analysis stock-market financial-data pattern-recognition netcore

hoshimin / sig
pattern-recognition,The most powerful and customizable binary pattern scanner
User: hoshimin
signature signatures patterns pattern-matching pattern signature-recognition pattern-recognition signature-scanner sig-scan

hurence / logisland
pattern-recognition,Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.
Organization: hurence
Home Page: https://logisland.github.io
big-data stream-processing kafka spark analytics complex-event-processing pattern-recognition kafka-streams elasticsearch cassandra influxdb solr

iduta / iresnet
pattern-recognition,Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
User: iduta
image-recognition imagenet pytorch image-classification deep-learning convolutional-neural-networks residual-networks cnn visual-recognition computer-vision

iduta / pyconv
pattern-recognition,Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
User: iduta
image-recognition imagenet pytorch deep-learning convolutional-neural-networks residual-networks residual-learning cnn computer-vision deep-neural-networks

jajupmochi / graphkit-learn
pattern-recognition,A python package for graph kernels, graph edit distances, and graph pre-image problem.
User: jajupmochi
Home Page: https://graphkit-learn.readthedocs.io
graph-kernels walks paths kernel-methods graph-representations pattern-recognition machine-learning chemoinformatics pre-image graph-edit-distance

keithorange / patternpy
pattern-recognition,📈 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 🔥
User: keithorange
algorithmic-trading data-processing financial-analysis investment numpy open-source pandas pattern-recognition python stock-market

kkoutini / passt
pattern-recognition,Efficient Training of Audio Transformers with Patchout
User: kkoutini
audio-classification audio-tagging machine-learning pattern-recognition pytorch transformer

kmario23 / deep-learning-drizzle
pattern-recognition,Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
User: kmario23
Home Page: https://deep-learning-drizzle.github.io
machine-learning deep-learning deep-neural-networks pattern-recognition computer-vision optimization visual-recognition reinforcement-learning deep-reinforcement-learning natural-language-processing artificial-neural-networks artificial-intelligence-algorithms probabilistic-graphical-models bayesian-statistics speech-recognition graph-neural-networks medical-imaging geometric-deep-learning explainable-ai probability

levyfan / reid-mgn
pattern-recognition,Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
User: levyfan
computer-vision pattern-recognition person-reidentification person-reid pytorch

mivialab / vf3lib
pattern-recognition,VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
Organization: mivialab
graphs graph-matching subgraphs-isomorphism graph-isomorphism structural-pattern-recognition pattern-recognition algorithm large-graph dense-graph

p-ranav / glob
pattern-recognition,Glob for C++17
User: p-ranav
glob pattern-matching unix pattern-recognition lightweight cpp17 filesystem filesystem-library cpp17-library cpp11

prophesee-ai / prophesee-automotive-dataset-toolbox
pattern-recognition,A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
Organization: prophesee-ai
machinelearning machine-learning-algorithms machine-learning dataset automotive event-based computer-vision pattern-recognition autonomous-driving perception

proycon / colibri-core
pattern-recognition,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.
User: proycon
Home Page: https://proycon.github.io/colibri-core
c-plus-plus python nlp ngrams skipgram ngram corpus linguistics library text-processing computational-linguistics pattern-recognition

raamana / neuropredict
pattern-recognition,Easy and comprehensive assessment of predictive power, with support for neuroimaging features
User: raamana
Home Page: https://raamana.github.io/neuropredict/
neuroimaging machine-learning structural-imaging anatomical-mri cross-validation functional-connectivity tractography tract-based-statistics resting-state pattern-recognition

riccardom / forex-and-stock-python-pattern-recognizer
pattern-recognition,A machine learning program that is able to recognize patterns inside Forex or stock data
User: riccardom
python3 machine-learning pattern-recognition forex-trading stock-trading

roujack / mathai
pattern-recognition,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.
User: roujack
pattern-recognition expression-recognition compiler-principles opencv tensorflow

scikit-maad / scikit-maad
pattern-recognition,Open-source and modular toolbox for quantitative soundscape analysis in Python
User: scikit-maad
Home Page: https://scikit-maad.github.io/
ecoacoustics bioacoustics signal-processing sound-pressure-level pattern-recognition acoustic-indices

seljukgulcan / comparing-trajectory-clustering-methods
pattern-recognition,Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
User: seljukgulcan
machine-learning pattern-recognition scikit-learn trajectory trajectory-analysis trajectory-clustering

ta-lib / ta-lib-python
pattern-recognition,Python wrapper for TA-Lib (http://ta-lib.org/).
Organization: ta-lib
Home Page: http://ta-lib.github.io/ta-lib-python
finance pattern-recognition python quantitative-finance ta-lib technical-analysis

thomaslech / crohme_extractor
pattern-recognition,CROHME dataset extractor for OFFLINE-text-recognition task.
User: thomaslech
Home Page: http://blog.mathocr.com
pattern-recognition machine-learning dataset parse python data data-science

tirthajyoti / papers-literature-ml-dl-rl-ai
pattern-recognition,Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
User: tirthajyoti
deep-learning machine-learning machine-learning-algorithms artificial-intelligence neural-network paper learning-theory reinforcement-learning statistical-learning data-mining

udaylab / pami
pattern-recognition,PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Organization: udaylab
Home Page: https://udaylab.github.io/PAMI/
frequent-itemsets frequent-pattern-mining python sequence-mining periodic-patterns periodicity pattern-mining pattern-recognition frequent-subgraphs stream-mining

vpulab / semantic-aware-scene-recognition
pattern-recognition,Code repository for paper https://www.sciencedirect.com/science/article/pii/S0031320320300613 @ Pattern Recognition 2020
Organization: vpulab
computer-vision scene-recognition deep-learning convolutional-neural-networks pattern-recognition

xarray-contrib / xeofs
pattern-recognition,Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
Organization: xarray-contrib
Home Page: https://xeofs.readthedocs.io/
eof-analysis pca climate-science xarray pattern-recognition dimensionality-reduction dask

xiaoyang-rebecca / patternrecognition_matlab
pattern-recognition,Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
User: xiaoyang-rebecca
Home Page: https://www.researchgate.net/publication/308927930_Comparison_of_Feature_Reduction_Approaches_and_Classification_Approaches_for_Pattern_Recognition
pattern-recognition lda gmm svm gaussian-mixture-models pca kpca

zenecture / neuroflow
pattern-recognition,Artificial Neural Networks for Scala
Organization: zenecture
artificial-neural-networks classification clustering data-artistry data-science pattern-recognition regression scala