6184 Open source projects that are alternatives of or similar to Learn Statistical Learning Method

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

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Automatic image captioning model based on Caffe, using features from bottom-up attention.

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Wi-Fi Geolocation Spoofing with the ESP8266

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A crash course in six episodes for software developers who want to become machine learning practitioners.

Movie plots by genre tutorial at PyData Berlin 2016

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A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

A python package that includes many methods for decoding neural activity

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Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Python solutions to solve practical business problems.

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Official Repo for Google Cloud AI Platform

Various Notebooks for Lernapparat.de

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Code for our paper "Hamiltonian Neural Networks"

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

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Tensorflow notes

Visualisation tool for CNNs in pytorch

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Home for Elasticsearch examples available to everyone. It's a great way to get started.

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.

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

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