Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
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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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Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
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NlpythonThis repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
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DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
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TsfreshAutomatic extraction of relevant features from time series:
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ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
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ModelsDLTK Model Zoo
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TfidfSimple TF IDF Library
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Applied Dl 2018Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
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Robot Surgery SegmentationWining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
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Ember Stars: ✭ 545 (-3.2%)
FlowtronFlowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
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ReinforceReinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
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Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
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Competitive Data ScienceMaterials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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DatasciencecourseThis holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
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Qs ledgerQuantified Self Personal Data Aggregator and Data Analysis
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Curve Text DetectorThis repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
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PynotesPython exercises to practice skills
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Go Profiler Notesfelixge's notes on the various go profiling methods that are available.
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TensorrtTensorFlow/TensorRT integration
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PytipsUseful Python tips!
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Gs QuantPython toolkit for quantitative finance
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NanovnaVery Tiny Palmtop Vector Network Analyzer
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Neural CollageCollaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
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MongoodA MongoDB GUI with Fluent Design
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Wenzhengai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
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MellotronMellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
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Log Progresshttps://habr.com/ru/post/276725/
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Pose Hg TrainTraining and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"
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