Update README.md

Author: krzjoa

README.md

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 * [gluon-cv](https://github.com/dmlc/gluon-cv) - Provides implementations of the state-of-the-art deep learning models in computer vision. <img height="20" src="img/mxnet_big.png" alt="MXNet based">
 * [KerasCV](https://github.com/keras-team/keras-cv) - Industry-strength Computer Vision workflows with Keras. <img height="20" src="img/keras_big.png" alt="MXNet based">
 * [OpenCV](https://github.com/opencv/opencv) - Open Source Computer Vision Library.
+* [Decord](https://github.com/dmlc/decord) - An efficient video loader for deep learning with smart shuffling that's super easy to digest.
+* [MMEngine](https://github.com/open-mmlab/mmengine) - OpenMMLab Foundational Library for Training Deep Learning Models. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [scikit-image](https://github.com/scikit-image/scikit-image) - Image Processing SciKit (Toolbox for SciPy).
 * [imgaug](https://github.com/aleju/imgaug) - Image augmentation for machine learning experiments.
 * [imgaug_extension](https://github.com/cadenai/imgaug_extension) - Additional augmentations for imgaug.
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 ### NLP
 * [pyLDAvis](https://github.com/bmabey/pyLDAvis): Visualize interactive topic model
 
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 ## Deployment
 * [fastapi](https://fastapi.tiangolo.com/) - Modern, fast (high-performance), a web framework for building APIs with Python
 * [streamlit](https://www.streamlit.io/) - Make it easy to deploy the machine learning model
+* [streamsync](https://github.com/streamsync-cloud/streamsync) - No-code in the front, Python in the back. An open-source framework for creating data apps.
 * [gradio](https://github.com/gradio-app/gradio) - Create UIs for your machine learning model in Python in 3 minutes.
+* [Vizro](https://github.com/mckinsey/vizro) - A toolkit for creating modular data visualization applications.
 * [datapane](https://datapane.com/) - A collection of APIs to turn scripts and notebooks into interactive reports.
 * [binder](https://mybinder.org/) - Enable sharing and execute Jupyter Notebooks
 
 
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 ## Statistics
 * [pandas_summary](https://github.com/mouradmourafiq/pandas-summary) - Extension to pandas dataframes describe function. <img height="20" src="img/pandas_big.png" alt="pandas compatible">
 * [Pandas Profiling](https://github.com/pandas-profiling/pandas-profiling) - Create HTML profiling reports from pandas DataFrame objects. <img height="20" src="img/pandas_big.png" alt="pandas compatible">
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 * [sklearn-porter](https://github.com/nok/sklearn-porter) - Transpile trained scikit-learn estimators to C, Java, JavaScript, and others.
 * [ONNX](https://github.com/onnx/onnx) - Open Neural Network Exchange.
 * [MMdnn](https://github.com/Microsoft/MMdnn) - A set of tools to help users inter-operate among different deep learning frameworks.
+* [treelite](https://github.com/dmlc/treelite) - Universal model exchange and serialization format for decision tree forests.
 
 ## Contributing
 Contributions are welcome! :sunglasses: </br>