Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
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deep-learning-notes🧠👨💻Deep Learning Specialization • Lecture Notes • Lab Assignments
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FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
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Pytorch Original TransformerMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
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Dl tutorialTutorials for deep learning
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ml-andrewng-pythonThis is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.
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All4nlpAll For NLP, especially Chinese.
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T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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MagnetDeep Learning Projects that Build Themselves
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TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
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Cs229 ml🍟 Stanford CS229: Machine Learning
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Monk object detectionA one-stop repository for low-code easily-installable object detection pipelines.
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Additive Margin SoftmaxThis is the implementation of paper <Additive Margin Softmax for Face Verification>
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IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
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Deeplearning.ai SummaryThis repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
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Monk v1Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
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Stanford Cs229🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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