Add kitops to README.md (#626)

Adding the kitops project again. It looks like it
was removed in a previous commit.

README.md

@@ -604,6 +604,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [Guild AI](https://github.com/guildai/guildai) ![](https://img.shields.io/github/stars/guildai/guildai.svg?style=social) - Open source toolkit that automates and optimizes machine learning experiments.
 * [Hangar](https://github.com/tensorwerk/hangar-py) ![](https://img.shields.io/github/stars/tensorwerk/hangar-py.svg?style=social) - Version control for tensor data, git-like semantics on numerical data with high speed and efficiency.
 * [Keepsake](https://github.com/replicate/keepsake) ![](https://img.shields.io/github/stars/replicate/keepsake.svg?style=social) - Version control for machine learning.
+* [KitOps](https://github.com/jozu-ai/kitops) ![](https://img.shields.io/github/stars/jozu-ai/kitops.svg?style=social) - KitOps is an open and standards-based packaging and versioning system for AI/ML projects that works with all the AI/ML, development, and DevOps tools you are already using.
 * [lakeFS](https://github.com/treeverse/lakeFS) ![](https://img.shields.io/github/stars/treeverse/lakeFS.svg?style=social) - Repeatable, atomic and versioned data lake on top of object storage.
 * [MLflow](https://github.com/mlflow/mlflow) ![](https://img.shields.io/github/stars/mlflow/mlflow.svg?style=social) - Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment.
 * [ModelDB](https://github.com/VertaAI/modeldb) ![](https://img.shields.io/github/stars/VertaAI/modeldb.svg?style=social) - An open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle.