create model compression tools (#452)

* create model compression tools

add neural-compressor

* add AutoGPTQ

* AutoAWQ

* Update README.md

README.md

@@ -19,10 +19,10 @@ This repository contains a curated list of awesome open source libraries that wi
 | [🧵 Data Pipeline](#data-pipeline) | [🏷️ Data Labelling & Synthesis](#data-labelling-and-synthesis) | [📅 Metadata Management](#metadata-management) |
 | [🗺️ Computation Distribution](#computation-load-distribution) | [📥 Model Serialisation](#model-serialisation) | [🧮 Optimized Computation](#optimized-computation)|
 | [💸 Data Stream Processing](#data-stream-processing) | [:red_circle: Outlier & Anomaly Detection](#outlier-and-anomaly-detection) | [🎁 Feature Store](#feature-store) |
-| [⚔ Adversarial Robustness](#adversarial-robustness) | [💾 Data Storage Optimisation](#data-storage-optimisation) | [📓 Data Science Notebook](#data-science-notebook) |
-| [🔥 Neural Search](#neural-search) | [👁️ Industry-strength Computer Vision](#industry-strength-cv) | [🔠 Industry-strength Natural Language Processing](#industry-strength-nlp) |
-| [🍕 Industry-strength Reinforcement Learning](#industry-strength-rl) | [📊 Industry-strength Visualisation](#industry-strength-visualisation) | [🙌 Industry-strength Recommender System](#industry-strength-recsys) |
-| [📈 Industry-strength Benchmarking & Evaluation](#industry-strength-benchmarking-and-evaluation) | [💰 Commercial Platform](#commercial-platform) |
+| [⚔ Adversarial Robustness](#adversarial-robustness) | [💾 Data Storage Optimization](#data-storage-optimisation) | [📓 Data Science Notebook](#data-science-notebook) |
+| [🔥 Neural Search](#neural-search) | [🔩 Model Optimization, Compilation & Compression](#model-optimization-compilation-and-compression) | [👁️ Industry-strength Computer Vision](#industry-strength-cv) |
+| [🔠 Industry-strength Natural Language Processing](#industry-strength-nlp) | [🍕 Industry-strength Reinforcement Learning](#industry-strength-rl) | [📊 Industry-strength Visualisation](#industry-strength-visualisation) |
+| [🙌 Industry-strength Recommender System](#industry-strength-recsys) | [📈 Industry-strength Benchmarking & Evaluation](#industry-strength-benchmarking-and-evaluation) | [💰 Commercial Platform](#commercial-platform) |
 
 ## 10 Min Video Overview
 
@@ -494,6 +494,15 @@ This repository contains a curated list of awesome open source libraries that wi
 * [NMSLIB](https://github.com/nmslib/nmslib) ![](https://img.shields.io/github/stars/nmslib/nmslib.svg?style=social) - Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
 * [Qdrant](https://github.com/qdrant/qdrant) ![](https://img.shields.io/github/stars/qdrant/qdrant.svg?style=social) - An open source vector similarity search engine with extended filtering support.
 
+
+## Model Optimization, Compilation and Compression
+* [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) ![](https://img.shields.io/github/stars/casper-hansen/AutoAWQ.svg?style=social) - AutoAWQ is an easy-to-use package for 4-bit quantized models.
+* [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) ![](https://img.shields.io/github/stars/PanQiWei/AutoGPTQ.svg?style=social) - An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
+* [AWQ](https://github.com/mit-han-lab/llm-awq) ![](https://img.shields.io/github/stars/mit-han-lab/llm-awq.svg?style=social) - Activation-aware Weight Quantization for LLM Compression and Acceleration.
+* [GPTQ](https://github.com/IST-DASLab/gptq) ![](https://img.shields.io/github/stars/IST-DASLab/gptq.svg?style=social) - Accurate Post-training Quantization of Generative Pretrained Transformers.
+* [neural-compressor](https://github.com/intel/neural-compressor) ![](https://img.shields.io/github/stars/intel/neural-compressor.svg?style=social) - Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks.
+
+
 ## Industry Strength CV
 * [Deep Lake](https://github.com/activeloopai/deeplake) ![](https://img.shields.io/github/stars/activeloopai/deeplake.svg?style=social) - Deep Lake is a data infrastructure optimized for computer vision.
 * [Detectron2](https://github.com/facebookresearch/detectron2) ![](https://img.shields.io/github/stars/facebookresearch/detectron2.svg?style=social) - Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms.