DeoldifyA Deep Learning based project for colorizing and restoring old images (and video!)
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Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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VanillacnnImplementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
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MagicMAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
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Video to bvhConvert human motion from video to .bvh
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Spacy RuRussian language models for spaCy
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TutmomTutorial on "Modern Optimization Methods in Python"
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PersonalContains Jupyter Notebooks of stuff I am working on.
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Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
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PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
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Emoji2vecemoji2vec: Learning Emoji Representations from their Description
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Seldon CoreAn MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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HtmresearchExperimental algorithms. Unsupported.
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Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
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FaceshifterTry to reproduce FaceShifter
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Kitti DatasetVisualising LIDAR data from KITTI dataset.
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Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
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CarputerToy car that drives itself using neural networks
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Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
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DraganA stable algorithm for GAN training
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IpypublishA workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
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IridescentSolid data structure and algorithms
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DdadDense Depth for Autonomous Driving (DDAD) dataset.
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WorldmodelsWorld Models with TensorFlow 2
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Neural decodingA python package that includes many methods for decoding neural activity
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CourseraThese are my learning exercices from Coursera
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MaterialsBonus materials, exercises, and example projects for our Python tutorials
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