Explore projects
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Alexis Olivo / guayusa
GNU General Public License v3.0 or laterModular Energy System Environment, forked from MUSE OS.
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AskAnna / AskAnna CLI - Python SDK
BSD 3-Clause "New" or "Revised" LicenseThe AskAnna CLI offers a command-line interface to the AskAnna platform. With the Python SDK you can run AskAnna functions directly from your Python script. The CLI & Python SDK simplifies the communication with the AskAnna platform.
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Marine biologists engaged in the study of coral reefs invest a significant portion of their time in manually processing data obtained from research dives. The objective of this challenge is to create an image segmentation pipeline that accelerates the analysis of such data. This endeavor aims to assist conservationists and researchers in enhancing their efforts to protect and comprehend these vital ocean ecosystems. Leveraging computer vision for the segmentation of coral reefs in benthic imagery holds the potential to quantify the long-term growth or decline of coral cover within marine protected areas.
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Derek Goddeau / torchmetal
MIT LicenseA library for Meta-Learning and Few-Shot Learning with PyTorch.
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Quy Le / tensorflow-speech-recognition
GNU General Public License v3.0 onlyOriginally forked from Pannous's tensorflow-speech-recognition project (https://github.com/pannous/tensorflow-speech-recognition) (2017-05-28)
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Machine learning exercises using tensorflow in python
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deepset-ai / open-source / word2vec-embeddings-de
Apache License 2.0Updated -
Samm Du / style-transfer-vgg16
MIT LicenseStyle Transfer Algorithm created using TensorFlow and the VGG16 model.
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Machine Learning core implement with Flask that predicts road submergence of a region with historical dataset.
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Mi Band 3 sensors are used to recognize and track fitness acitivities trough machine learning.
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Executing infamous Deep learning algorithms + Neural Networks.
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Example SGD classifier used to demonstrate the use of Scikit Learn in a Scott Logic blog post.
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Felipe Cavani / tensorflow.go
Apache License 2.0Tensorflow repo stores some machine learning algorithms developed in Go
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Abgaberepository für das Denoiserprojekt im Modul Learning and Softcomputing an der FH Wedel.
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Udacity Machine Learning Nanodegree https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t
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Questo lavoro consiste nella scrittura di vari algoritmi "from scratch" tra cui adaboost basato su stump per la predizione del tipo di terreno in forest cover type dataset.
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