Topic: pattern-recognition Goto Github
Some thing interesting about pattern-recognition
Some thing interesting about pattern-recognition
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
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
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/
pattern-recognition,A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
pattern-recognition,A python scanner to detect and plot common chart patterns
User: bennythadikaran
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
pattern-recognition, A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
Organization: cair
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/
pattern-recognition,Code and datasets for the Tsetlin Machine
Organization: cair
Home Page: https://arxiv.org/abs/1804.01508
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
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/
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
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
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
pattern-recognition,Teaching Materials for Dr. Waleed A. Yousef
User: drwaleedayousef
Home Page: http://www.wy.helwan.edu.eg
pattern-recognition,Simple and comprehensive tutorials in TensorFlow
Organization: easy-tensorflow
Home Page: http://www.easy-tensorflow.com
pattern-recognition,A script [js + plotly.js] that guesses your next input no matter how random you try to be
User: ex-punctis
pattern-recognition,Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
User: gerdm
pattern-recognition,[CVPR'23] Hard Patches Mining for Masked Image Modeling
User: haochen-wang409
Home Page: https://arxiv.org/pdf/2304.05919.pdf
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
pattern-recognition,Hastic data management server for labeling patterns and anomalies in Grafana
Organization: hastic-zzz
Home Page: https://hastic.io
pattern-recognition,Hastic data management server for analyzing patterns and anomalies from Grafana
Organization: hastic-zzz
pattern-recognition,Hierarchical Graph Analysis
Organization: higra
pattern-recognition,📈 A modern port to .NET (C#) of Technical Analysis Library
User: hmg3
Home Page: https://hmg3.github.io/TaTooIne
pattern-recognition,The most powerful and customizable binary pattern scanner
User: hoshimin
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
pattern-recognition,Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
User: iduta
pattern-recognition,Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
User: iduta
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
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
pattern-recognition,Efficient Training of Audio Transformers with Patchout
User: kkoutini
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
pattern-recognition,Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
User: levyfan
pattern-recognition,VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
Organization: mivialab
pattern-recognition,Glob for C++17
User: p-ranav
pattern-recognition,A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
Organization: prophesee-ai
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
pattern-recognition,Easy and comprehensive assessment of predictive power, with support for neuroimaging features
User: raamana
Home Page: https://raamana.github.io/neuropredict/
pattern-recognition,A machine learning program that is able to recognize patterns inside Forex or stock data
User: riccardom
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,Open-source and modular toolbox for quantitative soundscape analysis in Python
User: scikit-maad
Home Page: https://scikit-maad.github.io/
pattern-recognition,Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
User: seljukgulcan
pattern-recognition,Python wrapper for TA-Lib (http://ta-lib.org/).
Organization: ta-lib
Home Page: http://ta-lib.github.io/ta-lib-python
pattern-recognition,CROHME dataset extractor for OFFLINE-text-recognition task.
User: thomaslech
Home Page: http://blog.mathocr.com
pattern-recognition,Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
User: tirthajyoti
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/
pattern-recognition,Code repository for paper https://www.sciencedirect.com/science/article/pii/S0031320320300613 @ Pattern Recognition 2020
Organization: vpulab
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/
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
pattern-recognition,Artificial Neural Networks for Scala
Organization: zenecture
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