Tags: deep learning* + python*

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  1. Lambda Stack is an all-in-one package that provides a one line installation and managed upgrade path for deep learning and AI software, ensuring that you always have the most up-to-date versions of PyTorch, TensorFlow, CUDA, CuDNN, and NVIDIA Drivers.
  2. Kolmogorov-Arnold Networks (KANs) and explains how to apply them for time series forecasting using Python. Basics of KANs and their connection to deep learning models such as the multilayer perceptron (MLP), which is used in state-of-the-art forecasting models.
  3. • This is an MCU-based vision AI module powered by Arm Cortex-M55 and Ethos-U55, supporting TensorFlow and PyTorch frameworks.
    • It has a standard CSI interface, onboard digital microphone, and SD card slot.
    • Compatible with XIAO series, Arduino, Raspberry Pi, and ESP dev board.
    • Supports off-the-shelf and custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8.
    • Can be used for industrial automation, smart cities, transportation, smart agriculture, and mobile IoT devices.
  4. Scikit-learn — the go-to library for machine learning offering a user friendly, consistent interface.
    Pycaret — lowering the entry point for machine learning with low code, automated and end to end solutions.
    PyTorch — build and deploy powerful, scalable neural networks with its highly flexible architecture.
    TensorFlow — one of the most mature deep learning libraries, highly flexible and suited to a wide range of applications.
    Keras — TensorFlow made simple.
    FastAI — makes deep learning more accessible with a high-level API built on top of PyTorch.

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