BlogpostsCode collection for published blog posts
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Fancy PythonFancy things you can do in Python to make your life easier
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PytransitFast and easy exoplanet transit light curve modelling.
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EtymapInteractive visualization of Wiktionary words and etymologies.
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W2vWord2Vec models with Twitter data using Spark. Blog:
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DeepbakeBaking Machine Learning into Great British Bake Off
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Sdc courseShort course about self-driving cars
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QuacQUAC ("quantitative analysis of chatter" or any related acronym you like) is a package for acquiring and analyzing social Internet content. Docs are online at http://reidpr.github.io/quac.
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Dscourses18ECON 5970: Data Science for Economists, University of Oklahoma (Spring 2018)
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Dqn PytorchDeep Q Learning via Pytorch
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SegregationSegregation Analysis, Inference, and Decomposition
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Stock Market AnalysisAnalyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.
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Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
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Daru Viewdaru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
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Python🌶 day by day
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Text Top ModelBenchmarking text classification algorithms
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Pytorch LrpBasic LRP implementation in PyTorch
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Learning DeepAll my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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Pybkb v3Python scripts that help me be a successfull meteorologist. (Python 3)
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Web develop《Python Web开发实战》书中源码
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PythonJupyter notebooks and datasets for the interesting pandas/python/data science video series.
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Eda1 Stars: ✭ 64 (-3.03%)
Covid 19 Detection Flask App Based On Chest X Rays And Ct ScansCOVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
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Ml Nlp此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
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DdaDifferentiable Data Augmentation Library
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Cs231ncs231n assignments sovled by https://ghli.org
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448projectHigh Frequency Trading
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Exampleplots.jlCollection of examples and recipes for Plots.jl
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Pydata Nyc 2015📜 Understanding Probabilistic Topic Models with Simulation in Python
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Radio Hacking ScriptsScripts to aid in the manipulation of electromagnetic radiation (for use with gnu_radio and SDR).
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Apmae4990Introduction to Data Science in Industry
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Mimic WorkshopIntroduction to MIMIC-III, the Critical Care Database
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Jupyter ThemesCustom Jupyter Notebook Themes
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Pydata Pandas WorkshopMaterial for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
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