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+![Intel AI logo](/img/thumbnail.jpg "Intel AI")
+# Explore Our Open Source AI Portfolio
+Develop, train, and deploy your AI solutions quickly with performance- and productivity-optimized tools from Intel. 
+
+## Documentation
+Labs for Intel® Certified Developer Program — MLOps Professional
+* https://github.com/intel/certified-developer
+
+## Drivers
+* Android Neural Networks HAL with OpenVINO
+  * https://github.com/intel/nn-hal
+
+* OpenCL and L0 Compute Drivers, `ocloc` compiler
+  * https://github.com/intel/compute-runtime
+
+## Tools and utilities
+### Compilers
+* Intel® Graphics Compiler
+  * https://github.com/intel/intel-graphics-compiler
+* Intel® oneAPI DPC++/C++ Compiler
+  * https://github.com/intel/llvm
+### Setup tools
+* Intel® Graphic Drivers and environment setup for OpenVINO
+  * https://github.com/intel/edge-insights-vision
+### Benchmarks
+* Intel® Edge AI Performance Evaluation Toolkit
+  * https://github.com/intel/Intel-Edge-AI-Performance-Evaluation-Toolkit
+
+## Extensions, plugins and modules 
+### For [PyTorch](https://pytorch.org/)
+* https://github.com/intel/intel-extension-for-pytorch
+* https://github.com/intel/torch-ccl 
+### For [TensorFlow](https://www.tensorflow.org/)
+* https://github.com/intel/intel-extension-for-tensorflow
+### For [Triton](https://triton-lang.org/main/index.html)
+* https://github.com/intel/intel-xpu-backend-for-triton
+### For [Chainer](https://chainer.org/)
+* https://github.com/intel/ideep
+### For [Deepspeed](https://www.deepspeed.ai/)
+* https://github.com/intel/intel-extension-for-deepspeed
+### For [OpenXLA](https://openxla.org/)
+* https://github.com/intel/intel-extension-for-openxla 
+### For [HuggingFace Transformers](https://huggingface.co/docs/transformers)
+* https://github.com/intel/intel-extension-for-transformers
+### For [Horovod](http://horovod.ai/)
+* https://github.com/intel/intel-optimization-for-horovod
+### For [MLIR](https://mlir.llvm.org/)
+* https://github.com/intel/mlir-extensions
+### For [SciKit-Learn](https://scikit-learn.org/)
+* https://github.com/intel/scikit-learn-intelex
+### Based on [OpenVINO](https://docs.openvino.ai/)
+* For [Blender](https://www.blender.org/)
+  * https://github.com/intel/dream-textures-openvino
+* For [Audacity](https://www.audacityteam.org/)
+  * https://github.com/intel/openvino-plugins-ai-audacity
+* For [Gimp](https://www.gimp.org/)
+  * https://github.com/intel/openvino-ai-plugins-gimp
+* For [OBS Project](https://obsproject.com/)
+  * https://github.com/intel/openvino-plugins-for-obs-studio
+* For [Rust](https://www.rust-lang.org/)
+  * https://github.com/intel/openvino-rs
+
+## Frameworks and libraries 
+* XPU Operators for PyTorch
+  * https://github.com/intel/torch-xpu-ops
+* Intel® Xe Super Sampling library
+  * https://github.com/intel/xess
+* Optimization library for LLMs
+  * https://github.com/intel/xFasterTransformer
+* Intel® Neural Compressor (library for model compression)
+  * https://github.com/intel/neural-compressor
+* Neural Speed (library for efficient LLMs inference)
+  * https://github.com/intel/neural-speed
+* [Robot Operating System](https://www.ros.org/) framework for [OpenVINO](https://docs.openvino.ai/) based inference
+  * https://github.com/intel/ros_openvino_toolkit
+  * https://github.com/intel/ros2_openvino_toolkit
+* Data Flow Facilitator for Machine Learning
+  * https://github.com/intel/dffml
+* Intel® End-to-End AI Optimization Kit
+  * https://github.com/intel/e2eAIOK
+
+## Containers and microservices
+### IPEX and ITEX base containers
+* https://github.com/intel/ai-containers
+### AI Connect for Scientific Data – set of microservices
+* https://github.com/intel/AiCSD
+
+## Models
+* AutoRound - Advanced Weight-Only Quantization Algorithm for LLMs
+  * https://github.com/intel/auto-round
+* NN-Based Cost Model for NPU Devices
+  * https://github.com/intel/npu-nn-cost-model
+* $\rho$-Diffusion - A diffusion-based density estimation model for computational physics
+  * https://github.com/intel/rho-diffusion
+* Text-Visual Prompting Model
+  * https://github.com/intel/TVP
+* Intel® solution for RecSys challenge 2023  
+  * https://github.com/intel/recsys2023-intel-submission
+
+## Reference Designs
+### Intel® Cloud Optimization Modules
+* For [AWS](https://aws.amazon.com/)
+  * https://github.com/intel/intel-cloud-optimizations-aws
+* For [Microsoft Azure](https://azure.microsoft.com/)
+  * https://github.com/intel/intel-cloud-optimizations-azure
+* For [Google Cloud Platform (GCP)](https://cloud.google.com/)
+  * https://github.com/intel/intel-cloud-optimizations-gcp
+* For https://www.terraform.io/
+  * For [Databricks](https://www.databricks.com/) on [AWS](https://aws.amazon.com/)
+    * https://github.com/intel/terraform-intel-aws-databricks-workspace
+  * For [AWS Sagemaker](https://aws.amazon.com/sagemaker)
+    * https://github.com/intel/terraform-intel-aws-sagemaker-endpoint
+  * For Virtual Machines on [AWS](https://aws.amazon.com/)
+    * https://github.com/intel/terraform-intel-aws-vm
+  * For [Azure Data Explorer](https://dataexplorer.azure.com/)
+    * https://github.com/intel/terraform-intel-azure-adx
+  * For [Databricks](https://www.databricks.com/) [Microsoft Azure](https://azure.microsoft.com/)
+    * https://github.com/intel/terraform-intel-azure-databricks-workspace
+  * For [Databricks](https://www.databricks.com/) cluster
+    * https://github.com/intel/terraform-intel-databricks-cluster
+  * For Virtual Machines on [Google Cloud Platform (GCP)](https://cloud.google.com/)
+    * https://github.com/intel/terraform-intel-gcp-vm
+
+## Examples (demos and samples)
+### For [BigDL](https://bigdl.readthedocs.io/)
+* https://github.com/intel/BigDL-Distributed-Training-and-Inference-Workflow
+* https://github.com/intel/BigDL-Privacy-Preserving-Machine-Learning-Toolkit
+* https://github.com/intel/BigDL-Recommender-System-Toolkit
+* https://github.com/intel/BigDL-Time-Series-Toolkit
+### Cloud Examples
+* https://github.com/intel/cloud-client-ai-service-framework
+* https://github.com/intel/cloud-native-ai-pipeline
+* https://github.com/intel/credit-card-fraud-detection
+### Multi-modal disease prediction
+* https://github.com/intel/disease-prediction 
+### Documents analysis (OCR, search, sentiment extraction, etc.)
+* https://github.com/intel/document-automation
+* https://github.com/intel/document-level-sentiment-analysis
+
+## Forks and staging repos
+* https://github.com/intel/onnxruntime
+
+## Other AI-related Intel orgs on GitHub
+* https://github.com/HabanaAI
+* https://github.com/openvinotoolkit
+* https://github.com/intel-analytics
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