Sparsezoo

New Features:
* YOLOv3 base, pruned, pruned-quantized models added for ultralytics/yolov5 repo.
* Keras pruned resnet models implemented.
* Ability to load recipes from SparseZoo stubs available.
* Ability to load the base weights for a sparsified model available.

Changes:
* Default log level changed to warn.
* SparseZoo backend improved for faster deployments and more uptime.

Resolved Issues:
* Docs and readme corrections made for minor issues and broken links.
* Makefile no longer deletes files for docs compilation and cleaning.

Known Issues:
* None

This is a patch release for 0.1.0 that contains the following changes:

- Docs updates: tagline, overview, update to use sparsification for verbiage
- ResNet-50 pruned_quant moderate model added for PyTorch SparseML
- Functionality added for loading recipes and corresponding model weights from zoo stubs
- Nightly build dependencies now match on major.minor and not full version
- Change default log level to warn from info

Welcome to our initial release on GitHub! Older release notes can be [found here](https://neuralmagic.com/blog/release-notes/).

New Features:

* Python API is available to interact with models in the SparseZoo.
* CLI added to interact with models in the SparseZoo.
* `model_download` Jupyter Notebook added.
* Test cases introduced for published models.
* MakeFile flows and utilities implemented for GitHub repo structure.

Changes:

* Software packaging updated to reflect new GitHub distribution channel, from file naming conventions to license enforcement removal.

Resolved Issues:

* None

Known Issues:

* None