EthicML VS Activeloop Hub

Compare EthicML vs Activeloop Hub and see what are their differences.

Activeloop Hub

Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake] (by activeloopai)
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EthicML Activeloop Hub
1 31
24 4,807
- -
9.3 9.9
4 days ago over 1 year ago
Python Python
GNU General Public License v3.0 only Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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EthicML

Posts with mentions or reviews of EthicML. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning EthicML yet.
Tracking mentions began in Dec 2020.

Activeloop Hub

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 | /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 | /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 | /r/MachineLearning | 17 Apr 2022
    We've recently added a Huggingface integration that allows ingestion of HuggingFace datasets.
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    6 projects | /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 | /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 | /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 | /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 | /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 | /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...)
  • The hand-picked selection of the best Python libraries released in 2021
    12 projects | /r/Python | 21 Dec 2021
    Hub.

What are some alternatives?

When comparing EthicML and Activeloop Hub you can also consider the following projects:

dvc - 🦉 ML Experiments and Data Management with Git

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

TileDB - The Universal Storage Engine

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

cryptoCMD - Cryptocurrency historical price data library in Python. Data from https://coinmarketcap.com.

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

beneath - Beneath is a serverless real-time data platform ⚡️

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]