Zero-Shot Image-to-Image Translation

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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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  • pix2pix-video-colab

  • Try this colab, if you want to try pix2pix video https://github.com/camenduru/pix2pix-video-colab

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • While your millage (clearly) varies from mine, Anaconda is a de facto standard way to go in deep learning (and, generally, in most of the Python data science ecosystem).

    For example, when you go to the front page of PyTorch (https://pytorch.org/), the default way to go is with Anaconda. It precisely makes it easy to install things regardless of the system and with matching versions. For example, out of box, it gives GPU support for Apple Silicon - not extra installation instructions.

    Pip installers don't work with non-Python dependencies. Of course, you can manually install things any way you like (including inside Docker), but it is up to you to make sure that all dependencies are compatible. And it is a non-trivial task, given frequent updates of all things involved (including CUDA kernels, Python versions, PyTorch/TF versions, and all libraries related to them one way or the other).

  • 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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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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