Name: Kaoutar El Maghraoui
Type: User
Company: IBM
Bio: Dr. Kaoutar El Maghraoui is a principal research scientist at the IBM T.J Watson Research Center working at the intersection of AI and Systems.
Twitter: kaoutarTech
Location: Yorktown Heights
Blog: https://researcher.watson.ibm.com/researcher/view.php?person=us-kelmaghr
Kaoutar El Maghraoui's Projects
IBM Analog Hardware Acceleration Kit
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
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).
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.
Create and deploy a blockchain network using Hyperledger Fabric SDK for Node.js
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
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.
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
Efficient Large Language Models: A Survey
Tools for working with TREC KBA Corpora
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
Example deployable MAX model
Tutorial sample app
Created for toolchain: https://console.ng.bluemix.net/devops/toolchains/d86a270e-42fb-487a-bf25-8a015bbd5b98?env_id=ibm%3Ayp%3Aus-south
A Tour of AI Technologies in Time Series Prediction
This repo is for demonstration purposes only.
Comparison / Benchmarks of different Stable Diffusion (SD) optimization techniques
:green_book: How to prepare system design questions for IT company
Bootcamp material for IBM DSX training April 3-5 in Singapore
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.