submartingales

matplotx

:bar_chart: More styles and useful extensions for Matplotlib

nvim_config

My personal nvim config

copilot-cmp

Lua plugin to turn github copilot into a cmp source

copilot-client.lua

🤖 Neovim plugin intended as a client for copliot.lua, with a specific use-case

copilot-sandbox

Run Copilot in a sandbox - NeoVim Server

copilot-in-the-terminal

Hack to get Github Copilot working in the terminal with bash

vimshell-copilot.vim

Modifications to VimShell, adding copilot and bash command support.

vim-cheat_copilot

GitHub Copilot like usage of `cheat.sh` inside Vim

copilot-node-server

Copilot Node.js server.

copilot.lua

Fully featured & enhanced replacement for copilot.vim complete with API for interacting with Github Copilot

copilot.vim

Neovim plugin for GitHub Copilot

neovim

Vim-fork focused on extensibility and usability

eggroll

A Simple High Performance Computing Framework for [Federated] Machine Learning

tensorflow-federated

An open-source framework for machine learning and other computations on decentralized data.

pFedMe

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

flower

Flower: A Friendly Federated Learning Framework

FATE-Board

FATE's Visualization Toolkit

FATE-Serving

A scalable, high-performance serving system for federated learning models

LG-FedAvg

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

research

FedCV

FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks

autodp

autodp: A flexible and easy-to-use package for differential privacy

PFLlib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

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.

FATE-Flow

Solution for deploying and managing end-to-end federated learning workflows

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

fedavgpy

On the Convergence of FedAvg on Non-IID Data

Federated-Learning-with-Differential-Privacy

Implementation of dp-based federated learning framework using PyTorch

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

AIJack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)