Name: Ahmed M. A. Sayed
Type: User
Company: Queen Mary University of London
Bio: aka. Ahmed M. Abdelmoniem - Assistant Professor at QMUL, UK - Head of SAYED Systems Group - Interested in ML, networking and Distributed Systems
Twitter: ahmedcs982
Location: London
Blog: www.eecs.qmul.ac.uk/~ahmed
Ahmed M. A. Sayed's Projects
Implementation of Compressed SGD with Compressed Gradients in Pytorch
Easy benchmarking of all publicly accessible implementations of convnets
Realtime counter with node.js, socket.io and smoothie.js
the model slicer and structure scripts of Couper
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes
CS294; AI For Systems and Systems For AI
Differentiable architecture search for convolutional and recurrent networks
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Databox container manager and dashboard server
Code for Data Poisoning Attacks Against Federated Learning Systems
Delay-aware Compression Control for Distributed Machine Learning
ddl-benchmarks: Benchmarks for Distributed Deep Learning
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Deep Learning Examples
Speech Recognition using DeepSpeech2.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
Demystifying Fog Systems Using Container-based Benchmarking
Democratized Learning
Compression schemes for KAUST project
A collection of TensorFlow codes for training classical neural models in a distributed manner
Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
P2P Distributed deep learning framework that runs on PyTorch.
P2P Distributed deep learning framework that runs on PyTorch.