submartingales

conda-pack

Package conda environments for redistribution

DBA

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

rails

Ruby on Rails

modal-examples

Examples of programs built using Modal

tutorial

llama_index

LlamaIndex is a data framework for your LLM applications

vscode

Visual Studio Code

copilot-explorer

Hacky repo to see what the Copilot extension sends to the server

telekasten.nvim

A Neovim (lua) plugin for working with a markdown zettelkasten / wiki and mixing it with a journal, based on telescope.nvim

org-super-agenda

Supercharge your Org daily/weekly agenda by grouping items

emacs-dashboard

An extensible emacs dashboard

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

.emacs.d

Centaur Emacs - A Fancy and Fast Emacs Configuration

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Differential-Privacy-Based-Federated-Learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

prometheus

The Prometheus monitoring system and time series database.

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

swarm-jax

Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

FedNest

A PyTorch Implementation of FedNest: Federated Bilevel Optimization

FedDC

An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

FCIL

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

FCCL

TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning

DeepReduce

A Sparse-tensor Communication Framework for Distributed Deep Learning

Collaborative-Incentives

Byzantine-Federated-RL

code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

BatchCrypt

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.