5921 Open source projects that are alternatives of or similar to Machinelearninginaction3x

Starter files for Pluralsight course: Understanding Machine Learning with Python

三个月教你从零入门深度学习Tensorflow版配套代码

LSTMS for Predictive Maintenance

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

ENet - A Neural Net Architecture for real time Semantic Segmentation

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Open Content for self-directed learning in data science

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Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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VQVAEs, GumbelSoftmaxes and friends

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Using Project Jupyter for data science.

Natural Language Processing with TensorFlow, published by Packt

This something about deep learning on Coursera by Andrew Ng

主要存储Datawhale组队学习中“推荐系统”方向的资料。

ULMFiT for Genomic Sequence Data

Experimental algorithms. Unsupported.

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Deep Learning / NLP tutorial for Chatbot Developers

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虾神的Python示例代码库

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fastai V2 implementation of Timeseries classification papers.

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Tools for using a variational auto-encoder for latent image encoding and generation.

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Oxford Deep NLP 2017 course - Practical 1: word2vec

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Feature 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.

Guided Evolutionary Strategies

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

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Learn Python, Easy to learn, Awesome

A knowledge graph and a set of tools for drug repurposing

Notes and Summaries on ML-related Research Papers (with optional implementations)

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pyschedule - resource scheduling in python

Right Ventricle Cardiac MRI Segmentation

收录古柳（DesertsX）的一些小项目

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

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An implementation of "mixup: Beyond Empirical Risk Minimization"

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Machine Learning notebooks for refreshing concepts.