Activeloop Hub

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai (by activeloopai)

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Activeloop Hub reviews and mentions

Posts with mentions or reviews of Activeloop Hub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.
  • [D] NLP has HuggingFace, what does Computer Vision have?
    7 projects | reddit.com/r/MachineLearning | 19 Apr 2022
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :)
  • [N] [P] Access 100+ image, video & audio datasets in seconds with one line of code & stream them while training ML models with Activeloop Hub (more at docs.activeloop.ai, description & links in the comments below)
    4 projects | reddit.com/r/MachineLearning | 17 Apr 2022
    u/gopietz good question. htype="class_label" will work, but querying doesn't support multi-dimensional labels yet. Would you mind opening an issue requesting that feature?
    4 projects | reddit.com/r/MachineLearning | 17 Apr 2022
    We've recently added a Huggingface integration that allows ingestion of HuggingFace datasets.
  • Easy way to load, create, version, query and visualize computer vision datasets
    1 project | news.ycombinator.com | 28 Mar 2022
    Hi HN,

    In machine learning, we are faced with tensor-based computations (that's the language that ML models think in). I've recently discovered a project that helps you make it much easier to set up and conduct machine learning projects, and enables you to create and store datasets in deep learning-native format.

    Hub by Activeloop (https://github.com/activeloopai/Hub) is an open-source Python package that arranges data in Numpy-like arrays. It integrates smoothly with deep learning frameworks such as TensorFlow and PyTorch for faster GPU processing and training. In addition, one can update the data stored in the cloud, create machine learning pipelines using Hub API and interact with datasets (e.g. visualize) in Activeloop platform (https://app.activeloop.ai). The real benefit for me is that, I can stream my datasets without the need to store them on my machine (my datasets can be up to 10GB+ big, but it works just as well with 100GB+ datasets like ImageNet (https://docs.activeloop.ai/datasets/imagenet-dataset), for instance).

    Hub allows us to store images, audio, video data in a way that can be accessed at lightning speed. The data can be stored on GCS/S3 buckets, local storage, or on Activeloop cloud. The data can directly be used in the training TensorFlow/ PyTorch models so that you don't need to set up data pipelines. The package also comes with data version control, dataset search queries, and distributed workloads.

    For me, personally the simplicity of the API stands out, for instance:

    Loading datasets in seconds

      import hub ds = hub.load("hub://activeloop/cifar10-train")
  • Easy way to load, create, version, query & visualize machine learning datasets
    1 project | reddit.com/r/learnmachinelearning | 28 Mar 2022
    Hub by Activeloop (https://github.com/activeloopai/Hub) is an open-source Python package that arranges data in Numpy-like arrays. It integrates smoothly with deep learning frameworks such as Tensorflow and PyTorch for faster GPU processing and training. In addition, one can update the data stored in the cloud, create machine learning pipelines using Hub API and interact with datasets (e.g. visualize) in Activeloop platform (https://app.activeloop.ai/3)
  • Datasets and model creation flow
    1 project | reddit.com/r/mlops | 20 Feb 2022
    Consider this
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know!
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    Our early users love the tool and I hope you'll love it too. We have many more features other than visualization on the roadmap (the current feature list includes querying, version control UI, and integrates through our open-source package Hub (dataset format for AI) with TensorFlow, PyTorch, Sagemaker, other tools on the roadmap.
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    Please take a look at our open-source dataset format https://github.com/activeloopai/hub and a tutorial on htypes https://docs.activeloop.ai/how-hub-works/visualization-and-htype
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    The platform allows to: - Inspect the data with all its bounding boxes, masks, etc, and have important stats such as distribution of the labels (adding more stuff in the future to fight bias and improve data quality). - Query datasets to create new, highly specific ones - Version control datasets (while visualizing the changes). I'm confident that if you've ever worked on iteratively improving your models, dataset versioning is probably something you've done. - Stream computer vision datasets while training in PyTorch/Tensorflow via Hub, our open source package (we might add an even more straightforward way to the UI). - For larger organizations access management is important, and we do take care of that.
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    The visualization interfaces with our open-source dataset format for AI, enabling workflows such as querying/filtering to create datasets/inspect subsamples, tracking changes to the data with data version control visualization (e.g. cross-referencing if the transformations applied had intended effects), and will have integrations with other tools (e.g. experiment tracking, labelling) very soon.
    6 projects | reddit.com/r/MachineLearning | 17 Feb 2022
    Yes, we're not entirely relevant for your use case, especially if the data is not that big/complex, and benefits that you'd get from switching to Hub format are not as pronounced in case of text as they are in case of computer vision datasets (actually, we still have a couple of diehard NLP community members, but they have ridiculously big text datasets). I presume your university system doesn't use unstructured data like videos/images/audio, either, so our product wouldn't be very helpful in that regard. I do wish you tons of luck and patience though (>10ˆ6?! good Lord...)
    1 project | reddit.com/r/MachineLearningKeras | 14 Feb 2022
    I'm Davit from Activeloop (activeloop.ai).
  • The hand-picked selection of the best Python libraries released in 2021
    12 projects | reddit.com/r/Python | 21 Dec 2021
    Hub.
  • What are good alternatives to zip files when working with large online image datasets?
    2 projects | reddit.com/r/datascience | 14 Dec 2021
    What solution have you used that you like as a data scientist when working with large datasets? Any standard python API to access the data? Other solution? If anyone has used https://github.com/activeloopai/Hub or other similar API I'd be interested to hear your experience working with it!

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activeloopai/Hub is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.

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