Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
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yupiPython package designed for collecting and processing trajectory data.
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explainyexplainy is a Python library for generating machine learning model explanations for humans
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skippaSciKIt-learn Pipeline in PAndas
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scikit-activemlOur package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
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handson-ml2핸즈온 머신러닝 2/E의 주피터 노트북
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Awesome-ScriptsA collection of awesome scripts from developers around the globe.
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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pytrajPython interface of cpptraj
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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frovedisFramework of vectorized and distributed data analytics
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TrackVizRecorded tracks visualization plugin built on Unreal Engine. Airsim compatible.
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issue-trackingQuestions, Help, and Issues for Comet ML
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textlyticsText processing library for sentiment analysis and related tasks
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Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
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cellrouterReconstruction of complex single-cell trajectories using CellRouter
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scikit-maadOpen-source and modular toolbox for quantitative soundscape analysis in Python
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scikit-learnبه فارسی، برای مشارکت scikit-learn
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Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-SystemThe 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 abnorma…
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abessFast Best-Subset Selection Library
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polystoresA library for performing hyperparameter optimization
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osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
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Crowd Behavior AnalysisCrowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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ECoLExtended Complexity Library in R
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vf3libVF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
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MetaboverseVisualizing and Analyzing Metabolic Networks with Reaction Pattern Recognition
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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omegamlPython analytics made easy - an open source DataOps, MLOps platform for humans
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Competitive-Feature-LearningOnline feature-extraction and classification algorithm that learns representations of input patterns.
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DataSciPyData Science with Python
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object detectorObject detector from HOG + Linear SVM framework
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adaptAwesome Domain Adaptation Python Toolbox
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MomentToolboxMatlab code for the paper "A survey of orthogonal moments for image representation: Theory, implementation, and evaluation"
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pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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kdd99-scikitSolutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
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euro2016predictorSoccer Matches Predictor using Machine Learning
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vector space modellingNLP in python Vector Space Modelling and document classification NLP
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scikit-minescikit-mine : pattern mining in Python
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SigThe most powerful and customizable binary pattern scanner
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linear-treeA python library to build Model Trees with Linear Models at the leaves.
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booksA collection of online books for data science, computer science and coding!
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Kaio-machine-learning-human-face-detectionMachine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
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A-Detector⭐ An anomaly-based intrusion detection system.
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RecipeAutomated machine learning (AutoML) with grammar-based genetic programming
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model-deployment-flask'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
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feature engineFeature engineering package with sklearn like functionality
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AIPortfolioUse AI to generate a optimized stock portfolio
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