7348 Open source projects that are alternatives of or similar to 100 Plus Python Programming Exercises Extended

Tensorflow example of a conv GAN on MNIST.

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CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

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“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

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This repository contains some data structures implementation in C programming language. I wrote the tutorial posts about these data structures on my personal blog site in Bengali language. If you know Bengali then visit my site

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Experiments in positive-unlabeled learning

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This repository contains training material related to Azure and Machine Learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

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Templates for jupyter notebooks

Microscopy Image Cytometry Toolkit

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

The Cookiecutter template for the Django Crash Course tutorial by Daniel and Audrey Feldroy.

使用flutter打造一款像样的电影类App

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

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

strategy 101 从今天开始 逐步开放101个基础策略的QA实现 包含5个大类

Scalable Graph Neural Networks with Deep Graph Library

En este repositorio encontraras todo relacionado con python, desde definiciones básicas hasta Machine Learning y un poco de Data Science, este repositorio contiene todo lo que e aprendido acerca de python, espero lo disfrutes.

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A list of practical knowledge-building projects.

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