Topic: machine-learning

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.

tensorflow

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Computation using data flow graphs for scalable machine learning

scikit-learn

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scikit-learn: machine learning in Python

serverless

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Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AW

serverless

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Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AW

keras

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Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow

awesome-selfhosted

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This is a list of Free Software network services and web applications which can be hosted locally. S

machine-learning-for-software-engineers

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A complete daily plan for studying to become a machine learning engineer.

awesome-deep-learning-papers

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The most cited deep learning papers

TensorFlow-Examples

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TensorFlow Tutorial and Examples for beginners

mxnet

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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Datafl

cs-video-courses

9464

List of Computer Science courses with video lectures.

data-science-ipython-notebooks

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Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Th