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1. Quantization-Cookbook Quantization-Cookbook Public

   This repository contains practical recipes for quantizing and optimizing pre-trained models for efficient inference.

   Jupyter Notebook 2

2. Neural-Architecture-Search-Cookbook Neural-Architecture-Search-Cookbook Public

   A cookbook with recipes for implementing different techniques of neural architecture search!

   Python 3 1

3. AI-Detection-In-File-Binaries-Demo AI-Detection-In-File-Binaries-Demo Public

   Demo for detecting AI neural networks in file binaries using LLVM

   Makefile 2

4. Neural-Collaborative-Filtering-Demo Neural-Collaborative-Filtering-Demo Public

   Recomendation AI Upselling Enablement. Neural Collaborative Filtering for user-item recommendations.

   Python 1

5. anomaly-detection anomaly-detection Public

   Suite of demos with examples of how different ML models can be used for anomaly detection,

   Python 1

6. Accelerated-LLM-Training-Cookbook Accelerated-LLM-Training-Cookbook Public

   This repository contains Jupyter notebooks implementing four key recipes for accelerating Large Language Model (LLM) training, based on the cheatsheet .

   Jupyter Notebook