Javier

Flower - A Friendly Federated Learning Research Framework

Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)

Short, easy to run, code examples presented in the Flower's FlowerMonthly online meetings.

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Having access to thousands of publications via http://arxiv.org is great but when downloading a paper the title of the .pdf document always comes in the form "1234.56789.pdf" or similar. That file name is the id fo the paper in the arXiv database. Here I present set of utils that automatically rename those .pdf with the title of the publication

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Material workbench for the master-level course CS-E4740 "Federated Learning"

⭐️ Companies that don't have a broken hiring process

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

FedorAS: Federated Architecture Search under system heterogeneity

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A PyTorch-based Speech Toolkit

Geometric Deep Learning Extension Library for PyTorch

CUDA Library Samples

Count the MACs / FLOPs of your PyTorch model.

Repository for benchmarking graph neural networks

A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.

Winograd minimal convolution algorithm generator for convolutional neural networks.

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Keyword spotting on Arm Cortex-M Microcontrollers

Realtime CPU/D3D/OpenGL/CUDA Profiler in a single C file with web browser viewer

OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...