machine-learning
Projects with this topic
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In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.
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A library for Meta-Learning and Few-Shot Learning with PyTorch.
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📚 📐 Repository to historically learn about step-by-step mathematics for machine learning.Updated -
Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese
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SecML models and databases zoo.
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In SupeRAuGAN we implement a novel data augmentation technique tailored to Generative Adversarial Networks in order to reduce discriminator overfitting and stabilize training
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Python course for programmers with a focus on features needed for machine learning
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Learn from books in statistics, econometrics, ML and DL. Follows https://trics.me/textbook/index.html, but takes a current selection of books and goes through TOC and code examples.
Delievered at https://epogrebnyak.gitlab.io/statbooks/
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Joule is a dataset uploader/hoster/downloader.
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Provide a good solution to the CFM 2020 Challenge the hard way (hand writing the optimizer, directly use the Linear Algebra routines, use the most out of the multicore hardware).
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Repository containing book material for Introduction to Machine Learning with Python
https://github.com/amueller/introduction_to_ml_with_python https://www.oreilly.com/library/view/introduction-to-machine/9781449369880/ https://www.geeksforgeeks.org/introduction-machine-learning-using-python/
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This is a simple example how to solve the traveling salesman problem with an genetic algorithm.
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A simple calculator, but with no buttons. It takes its inputs with a raspicamera and analyse it using machine learning. This project is made possible by M. Kromer.
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A VERY early alpha, don't use. Or use, but refactor first and send a PR.
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A replacement for patsy better suitable for fully automated use
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Mobile app providing prepaid phone card fast and easy scanning. Also available on https://github.com/hramaroson/photokredy
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A Crystal library for scientific computing with a focus on data science and machine learning.
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Bike Sharing in Washington D.C.
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