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Add 3x examples readme.md
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update tensorflow model list 
Signed-off-by: Sun, Xuehao <[email protected]>
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Intel® Neural Compressor validated examples with multiple compression techniques, including quantization, pruning, knowledge distillation and orchestration. Part of the validated cases can be found in the example tables, and the release data is available [here](../docs/source/validated_model_list.md).


# PyTorch Examples

## Quantization
<table>
<thead>
<tr>
<th>Model</th>
<th>Domain</th>
<th>Method </th>
<th>Examples</th>
</tr>
</thead>
<tbody>

<tr>
<td rowspan="2">gpt_j</td>
<td rowspan="2">Natural Language Processing</td>
<td>Weight-Only Quantization</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Static Quantization (IPEX)</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td rowspan="2">llama2_7b</td>
<td rowspan="2">Natural Language Processing</td>
<td>Weight-Only Quantization</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Static Quantization (IPEX)</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td rowspan="3">opt_125m</td>
<td rowspan="3">Natural Language Processing</td>
<td>Static Quantization (IPEX)</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td>Static Quantization (PT2E)</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/pt2e">link</a></td>
</tr>
<tr>
<td>Weight-Only Quantization</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td rowspan="2">resnet18</td>
<td rowspan="2">Image Recognition</td>
<td>Mixed Precision</td>
<td><a href="./pytorch/cv/mixed_precision">link</a></td>
</tr>
<tr>
<td>Static Quantization</td>
<td><a href="./pytorch/cv/static_quant">link</a></td>
</tr>
</tbody>
</table>


# TensorFlow Examples

## Quantization
Expand All @@ -22,12 +85,6 @@ Intel® Neural Compressor validated examples with multiple compression technique
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/nlp/bert_large_squad_model_zoo/quantization/ptq">link</a></td>
</tr>
<tr>
<td>gpt-j-6B</td>
<td>Natural Language Processing</td>
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/nlp/large_language_models/quantization/ptq/gpt-j">link</a></td>
</tr>
<tr>
<td>transformer_lt</td>
<td>Natural Language Processing</td>
Expand Down Expand Up @@ -88,24 +145,12 @@ Intel® Neural Compressor validated examples with multiple compression technique
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/object_detection/mask_rcnn_inception_v2/quantization/ptq">link</a></td>
</tr>
<tr>
<td>mask_rcnn_inception_v2_ckpt</td>
<td>Object Detection</td>
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/object_detection/mask_rcnn_inception_v2/quantization/ptq">link</a></td>
</tr>
<tr>
<td>ssd_mobilenet_v1</td>
<td>Object Detection</td>
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/object_detection/ssd_mobilenet_v1/quantization/ptq">link</a></td>
</tr>
<tr>
<td>ssd_mobilenet_v1_ckpt</td>
<td>Object Detection</td>
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/object_detection/ssd_mobilenet_v1/quantization/ptq">link</a></td>
</tr>
<tr>
<td>wide_deep_large_ds</td>
<td>Recommendation</td>
Expand All @@ -118,88 +163,7 @@ Intel® Neural Compressor validated examples with multiple compression technique
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/semantic_image_segmentation/3dunet-mlperf/quantization/ptq">link</a></td>
</tr>
<tr>
<td>style_transfer</td>
<td>Style Transfer</td>
<td>Post-Training Static Quantization</td>
<td><a href="./tensorflow/style_transfer/arbitrary_style_transfer/quantization/ptq">link</a></td>
</tr>

</tbody>
</table>

# PyTorch Examples

## Quantization
<table>
<thead>
<tr>
<th>Model</th>
<th>Domain</th>
<th>Method </th>
<th>Algorithm </th>
<th>Examples</th>
</tr>
</thead>
<tbody>

<tr>
<td rowspan="3">gpt_j</td>
<td rowspan="3">Natural Language Processing</td>
<td>Weight-Only Quantization</td>
<td>RTN</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Weight-Only Quantization</td>
<td>GPTQ</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Static Quantization (IPEX)</td>
<td></td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td rowspan="2">llama2_7b</td>
<td rowspan="2">Natural Language Processing</td>
<td>Weight-Only Quantization</td>
<td>GPTQ</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Static Quantization (IPEX)</td>
<td></td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td rowspan="3">opt_125m</td>
<td rowspan="3">Natural Language Processing</td>
<td>Static Quantization (IPEX)</td>
<td></td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/ipex">link</a></td>
</tr>
<tr>
<td>Weight-Only Quantization</td>
<td>GPTQ</td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/weight_only">link</a></td>
</tr>
<tr>
<td>Static Quantization (PT2E)</td>
<td></td>
<td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/static_quant/pt2e">link</a></td>
</tr>
<tr>
<td rowspan="2">resnet18</td>
<td rowspan="2">Image Recognition</td>
<td>Mixed Precision</td>
<td></td>
<td><a href="./pytorch/cv/mixed_precision">link</a></td>
</tr>
<tr>
<td>Static Quantization</td>
<td></td>
<td><a href="./pytorch/cv/static_quant">link</a></td>
</tr>
</tbody>
</table>