Deeplake

First major release since v4 announcements. Here's the highlights of what's included:

New Features:
- Ability to add linked rows for images, segment masks and binary masks
- Ability to save query views through tagging
- Integration with MMDetection and MMSegmentation
- Autocommit the data at the session exit
- Ability to create dynamic arrays
- Ability to create structures with known schema

Improvements and fixes:
- Significantly improved dataset load time for large datasets
- Flushing the data in background during ingestion
- Reduced memory usage during ingestion
- Ability to slice the dataset and column by slices, lists and tuples
- Fixed various bugs in query engine, v3-to-v4 conversion flow and data ingestion flow

- Fixed issue with non-contiguous numpy array 2988
- Fixed issue with `deeplake.copy` on azure storage
- Stability improvements on vector search
- Added `deeplake.push` and `deeplake.pull` to synchronize dataset copies

- `deeplake.copy` to copy dataset from source to destination nvoxland-al
- Fixed jpeg conversion issue with invalid shape tyesayan
- Fixed `deeplake.convert` issues for text, json and scalar columns khustup2

🧭 What's Changed
* Up to 5x improvement on dataset open time for large datasets
* Ability to interrupt long running query with Ctrl-C
* Added support for tag checkout in TQL FROM
* Reduced binary size by ~2Mb
* Fixed clustered index search on small data
* Fixed deeplake.convert bug with text columns

🧭 What's Changed

**Major release of Deep Lake**

- Eventual Consistency: Enabling concurrent workloads. Read more [here](https://docs.deeplake.ai/latest/details/transactions/).
- Faster Installation: 5x faster setup by removing all dependencies except NumPy.
- Enhanced Performance: Up to 10x faster reads/writes due to migrating low-level code to C++.
- Cross cloud queries with [JOIN](https://docs.deeplake.ai/latest/guide/tql/#join) operations and [User-Defined Functions](https://docs.deeplake.ai/latest/guide/tql/#custom-tql-functions)
Simplified API with [unified documentation](https://docs.deeplake.ai/), [better data typing](https://docs.deeplake.ai/latest/api/types/), and [async support](https://docs.deeplake.ai/latest/api/dataset/#deeplake.open_async).
- Switched to Apache 2.0 license

As a major release, the 4.0 API is not compatible with 3.x. Full documentation is available at [docs.deeplake.ai](https://docs.deeplake.ai/) including a v3 to v4 conversion guide.

Note: Open source code for 4.0 will be fully moved into this repo in the coming weeks

Bugfixes on 3.x should be made against the [v3 branch](https://github.com/activeloopai/deeplake/tree/v3)

🧭 What's Changed
* Updated versions for 3.9.44 release (3040) activesoull
* add labelbox iam integration support (3043) tyesayan
⚙️ Who Contributes
activesoull and tyesayan