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Activeloop Deep Lake

The Data Lake for Deep Learning
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What is Activeloop Deep Lake?

It retains all the features you love from data lakes, with one key twist. Deep Lake is explicitly built for deep learning workflows with image, audio, and video datasets. This saves time on building complex data infrastructure, & enables shipping AI models into production much faster.
Activeloop Deep Lake is a tool in the Big Data Tools category of a tech stack.
Activeloop Deep Lake is an open source tool with 8.9K GitHub stars and 691 GitHub forks. Here’s a link to Activeloop Deep Lake's open source repository on GitHub

Who uses Activeloop Deep Lake?

Activeloop Deep Lake Integrations

Activeloop Deep Lake's Features

  • Storage agnostic API
  • Compressed storage
  • Lazy Numpy-like indexing
  • Dataset version control
  • Integrations with deep learning frameworks
  • Distributed transformations
  • 100+ most-popular image, video, and audio datasets available in seconds
  • Instant visualization support in Activeloop platform

Activeloop Deep Lake Alternatives & Comparisons

What are some alternatives to Activeloop Deep Lake?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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