6233 Open source projects that are alternatives of or similar to H3 Py Notebooks

Sample notebooks for Kaggle competitions

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Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

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Machine Learning for Cybersecurity Cookbook, published by Packt

Solving Sudoku Puzzles in the Browser Using Augmented Reality

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Classification schemes for choropleth mapping.

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The dataset is used to train my own raccoon detector and I blogged about it on Medium

Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019

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50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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Course - 5; Specialization: Applied Data Science with Python; University Of Michigan

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Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.

该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解

Generic codes related to NLP

Ağ ve Bilgi Güvenliği; Linux & Temel Komutlar, Python, Risk Analizi, Kriptoloji, Stenografi, Zararlı Kod Analizi, Sızma Testi, Pasif Bilgi Toplama, Pasif Bilgi Toplama, Ağ Güvenliği, Zaafiyet Keşfi, Zararlı Kod Oluşturma Yöntemleri, Dijital Adli Analiz, Web Güvenliği, Sosyal Mühendislik Saldırıları, Mobil Sistem Güvenliği konularında sunum ve uygulamaların olduğu ağ ve bilgi güvenliği ders sayfası.

Knowledge Graph Toolkit

📢 Ready to learn or review your knowledge!

A repo of the Data Scientist team's open source predictive models.

My Solution to Assignments of CS231n in Winter2016

ISMIR 2020 Tutorial for Metric Learning in MIR

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The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning

Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

google it automation with python professional certificate

An experiment to extract meaningful insights from fitbit data

On Network Design Spaces for Visual Recognition

Juypter notebooks playground to explore and analyse economy and finance ideas

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

Books, papers and links to latest research in ML/AI

SQL Server 2019 Workshop

"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n

Data and code for BuzzFeed's bikeshare gender maps.

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Tribe extracts a network from an email mbox and writes it to a graphml file for visualization and analysis.

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A JavaScript Implementation of GeoScript

Some IPython notebooks based on Bishop's "Pattern Recognition and Machine Learning" book

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

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road damage detection challenge 2020