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remove mxnet in main page
Signed-off-by: chensuyue <[email protected]>
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chensuyue committed Aug 11, 2024
commit 0b2031a8cdd13187f26878c03d84f0d07657fa5c
4 changes: 2 additions & 2 deletions README.md
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Intel® Neural Compressor
===========================
<h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime, and MXNet)</h3>
<h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, and ONNX Runtime)</h3>

[![python](https://img.shields.io/badge/python-3.8%2B-blue)](https://github.com/intel/neural-compressor)
[![version](https://img.shields.io/badge/release-3.0-green)](https://github.com/intel/neural-compressor/releases)
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---
<div align="left">

Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [ONNX Runtime](https://onnxruntime.ai/), and [MXNet](https://mxnet.apache.org/),
Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), and [ONNX Runtime](https://onnxruntime.ai/),
as well as Intel extensions such as [Intel Extension for TensorFlow](https://github.com/intel/intel-extension-for-tensorflow) and [Intel Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch).
In particular, the tool provides the key features, typical examples, and open collaborations as below:

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2 changes: 1 addition & 1 deletion docs/source/CONTRIBUTING.md
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| Code Scan | Bandit/CopyRight/DocStyle/SpellCheck | PASS |
| [DCO](https://github.com/apps/dco/) | Use `git commit -s` to sign off | PASS |
| Unit Test | Pytest scripts under [test](/test) | PASS (No failure, No core dump, No segmentation fault, No coverage drop) |
| Model Test | Pytorch + TensorFlow + ONNX Runtime + MXNet | PASS (Functionality pass, FP32/INT8 No performance regression) |
| Model Test | Pytorch + TensorFlow + ONNX Runtime | PASS (Functionality pass, FP32/INT8 No performance regression) |

## Support

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