eliaskousk

A25_VME

FPGA source for PCIe to VME interface

A25_VME_TB

VHDL test bench for A25_VME FPGA design

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

aws-fpga

Official repository of the AWS EC2 FPGA Hardware and Software Development Kit

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

BNN-PYNQ

conan-gflags

Conan Package for Google's GFlags Library

parallella-riscv

RISC-V Rocket Core on Parallella & ZedBoard Zynq FPGA Boards

parallella-riscv-images

Parallella RISC-V Prebuilt Images

vmrun

Simple AMD-V (SVM) Virtualization Extensions Demo

eliaskousk/autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

eliaskousk/cv

eliaskousk/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

eliaskousk/dotfiles

My vim, zsh, tmux, git configuration files

eliaskousk/EasyFL

An easy-to-use federated learning platform

eliaskousk/example-code-2e

Example code for Fluent Python, 2nd edition

eliaskousk/fastbook

The fastai book, published as Jupyter Notebooks

eliaskousk/FATE

An Industrial Grade Federated Learning Framework

eliaskousk/FedML

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

eliaskousk/FLSim

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

eliaskousk/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

eliaskousk/KubeFATE

Manage federated learning workload using cloud native technologies.

eliaskousk/MONAI

AI Toolkit for Healthcare Imaging

eliaskousk/openfl

An open framework for Federated Learning.

eliaskousk/PerfKitBenchmarker

PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.

eliaskousk/Practicing-Federated-Learning

eliaskousk/PySyft

A library for answering questions using data you cannot see

eliaskousk/pytorch-cifar

95.47% on CIFAR10 with PyTorch

eliaskousk/PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

eliaskousk/substra

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

eliaskousk/substra-backend

Backend of the Substra platform

eliaskousk/substra-frontend

eliaskousk/azure-charon-ssp-deploy

Bicep deployment scripts to deploy Charon SSP on Azure

eliaskousk/craftinginterpreters

Repository for the book "Crafting Interpreters"

eliaskousk/fsdp_qlora

Training LLMs with QLoRA + FSDP

eliaskousk/linux

Linux kernel source tree

eliaskousk/llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

eliaskousk/llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

eliaskousk/NeMo

NeMo: a framework for generative AI

eliaskousk/NVFlare

NVIDIA Federated Learning Application Runtime Environment