Actively developed Deep Learning applications and libraries

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agatha 🌿
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AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

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NeuLNS 🌿
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Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.

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Deep Learning tools for automatic segmentation of medical images

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IUDLM 🌿
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Object Detection, Localization, Segmentation, Deep Learning, Mathematics

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taxonomy 🌿
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Taxonomy of Real Faults in Deep Learning Systems

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This is my first Deep Learning project, which is a MNIST hand-written digits classifier. The model is implemented completely from scratch WITHOUT using any prebuilt optimization like Tensorflow or Pytorch. Tensorflow is imported only to load the MNIST data set. This model also uses 2 hidden layers with Adaptive Moment Optimization (Adam) and Drop-out regularization.

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Deep Learning Note: tutorial, documentation, code links, etc...

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This is the project for my bachelor's dissertation, tries to recognise and classify 'Social Function Images' from their emotion and content by using deep learning and affective modelling methods. (Includes a self-labelled sample dataset)

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RedisAI 🌿
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A Redis module for serving tensors and executing deep learning graphs

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seqdataloader 🌿
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Sequence data label generation and ingestion into deep learning models

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11903 Deep Learning libraries
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