How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

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PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

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Netron

Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

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MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

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D3.js

Allows the user to manipulate documents based on data to render charts in SVG.

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torchvision

PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.

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Metabase

Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker

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Keras

Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…

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