Hub - Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into a single numpy-like array on the cloud, accessible on any machine.
Describe features.
Store and retrieve large datasets with version-control
Collaborate as in Google Docs: Multiple data scientists working on the same data in sync with no interruptions
Access from multiple machines simultaneously
Deploy anywhere - locally, on Google Cloud, S3, Azure, and Activeloop (by default - and for free!)
Integrate with your ML tools like Numpy, Dask, Ray, PyTorch, or TensorFlow
Create arrays as big as you want. You can store images as big as 100k by 100k!
Keep the shape of each sample dynamic. This way you can store small and big arrays as 1 array.
Visualize any slice of the data in a matter of seconds without redundant manipulations
What's the difference between this Python project and similar ones?
Enumerate comparisons.
It's much more deep learning, machine learning-oriented, and makes easy handling of the data.
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1748
**Author:** [@sparkingdark](https://github.com/sparkingdark)
**Created:** 4/1/2021
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `adding-hubpackage`
---
### 📝 Commits (1)
- [`c7fd752`](https://github.com/vinta/awesome-python/commit/c7fd752d70ed6408f9386afb1833826a416412eb) Adding hub to the awesome list
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
Hub - Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into a single numpy-like array on the cloud, accessible on any machine.
Describe features.
- Store and retrieve large datasets with version-control
- Collaborate as in Google Docs: Multiple data scientists working on the same data in sync with no interruptions
- Access from multiple machines simultaneously
- Deploy anywhere - locally, on Google Cloud, S3, Azure, and Activeloop (by default - and for free!)
- Integrate with your ML tools like Numpy, Dask, Ray, PyTorch, or TensorFlow
- Create arrays as big as you want. You can store images as big as 100k by 100k!
- Keep the shape of each sample dynamic. This way you can store small and big arrays as 1 array.
- Visualize any slice of the data in a matter of seconds without redundant manipulations
## What's the difference between this Python project and similar ones?
Enumerate comparisons.
It's much more deep learning, machine learning-oriented, and makes easy handling of the data.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1748
Author: @sparkingdark
Created: 4/1/2021
Status: ❌ Closed
Base:
master← Head:adding-hubpackage📝 Commits (1)
c7fd752Adding hub to the awesome list📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Hub - Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into a single numpy-like array on the cloud, accessible on any machine.
Describe features.
What's the difference between this Python project and similar ones?
Enumerate comparisons.
It's much more deep learning, machine learning-oriented, and makes easy handling of the data.
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.