Deep Learning Waste Management App with Gamification

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning

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  • deep-waste-app

    Managing waste in fun and easy way with AI ♻️

  • The source code can be found here (https://github.com/sumn2u/deep-waste-app).

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • Torch and Keras provide the pre-trained models DenseNet121 and MobileNet, respectively, which we utilize for our image recognition models. These models were initially trained on ImageNet. We then fine-tuned MobileNet using the TrashNet data collection to classify garbage material. Then resultant model are then converted into tflite file, making it accessible for processing in mobile devices

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • trashnet

    Dataset of images of trash; Torch-based CNN for garbage image classification

  • Torch and Keras provide the pre-trained models DenseNet121 and MobileNet, respectively, which we utilize for our image recognition models. These models were initially trained on ImageNet. We then fine-tuned MobileNet using the TrashNet data collection to classify garbage material. Then resultant model are then converted into tflite file, making it accessible for processing in mobile devices

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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