Kaoutar El Maghraoui's repositories

analog-nas

Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.

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aihwkit

IBM Analog Hardware Acceleration Kit

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Awesome-Quantization-Papers

List of papers related to neural network quantization in recent AI conferences and journals (please refer to README in the folder for a better view).

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CIFAR-10

An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.

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CreatingandDeployingBlockchainNetworkUsingHyperlederFabricNodeSDK

Create and deploy a blockchain network using Hyperledger Fabric SDK for Node.js

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cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

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cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

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DLaaS-Getting-StartedTutorial

A Getting Started Tutorial to get you quick-started on using the IBM Watson Studio DLaaS (Deep Learning as a Service) via the Command Line Interface (CLI). Covers basic pre-requisites, creating a Machine Learning Instance, Cloud Object Storage, etc. and a simple demo.

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DLaaS-Getting-StartedTutorial-1

This repo is for the IBM MIT AI Lab to use DLaaS in IBM Watson Studio. The demo will use Pytorch to train VGG for CIFAR10. The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifar) and adapted for submitting the model to IBM Watson Machine Learning on Watson Studio for training. It is meant to get you quick-started. We hope you have some fun running your first models in IBM Cloud

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kba-corpus

Tools for working with TREC KBA Corpora

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livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

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Efficient-LLMs-Survey

Efficient Large Language Models: A Survey

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max-model-example

Example deployable MAX model

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myappsampl

Tutorial sample app

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optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

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product-line-prediction

Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/d86a270e-42fb-487a-bf25-8a015bbd5b98?env_id=ibm%3Ayp%3Aus-south

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soa_research_ai_time_series

A Tour of AI Technologies in Time Series Prediction

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Spoon-Knife

This repo is for demonstration purposes only.

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stable-diffusion-optimization

Comparison / Benchmarks of different Stable Diffusion (SD) optimization techniques

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system-design-interview

:green_book: How to prepare system design questions for IT company

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Training-material

Bootcamp material for IBM DSX training April 3-5 in Singapore

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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