superkevingit

mlc-llm

Universal LLM Deployment Engine with ML Compilation

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

flower

Flower: A Friendly Federated Learning Framework

Awesome-FL

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

rtdl

Research on Tabular Deep Learning: Papers & Packages

LaMini-LM

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

NIID-Bench

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

SAFMN

[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge

tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

FederatedGPT-Shepherd

Shepherd: A foundational framework enabling federated instruction tuning for large language models

lex-glue

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.

PEViT

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

FedAdapt

Adaptive Offloading of Federated Learning on IoT Devices

FedStar

[AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

NTIRE2024_ESR

Solution of the NTIRE 2024 Challenge on Efficient Super-Resolution

PLM-ICD

PLM-ICD: Automatic ICD Coding with Pretrained Language Models

SFL-Structural-Federated-Learning

IJCAI-Personalized Federated Learning with Graph

Awesome_Adversarial_Transferability

A curated list of papers for the transferability of adversarial examples

FedAudio

[ICASSP 2023] FedAudio: A Federated Learning Benchmark for Audio and Speech Tasks

ChatGPT-API

Implements ChatGPT API via request package.

Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

RoSA

fl-text-models

Federated learning with text DNNs for DATA 591 at University of Washington.

PFL

Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", ICML 2023

reproducibleFedGNN

Investigating the reproducibility of federated GNN models

FedRA

FeDepth

Implementation of [Memory-adaptive Depth-wise Heterogenous Federated Learning]

CapstoneProject-ASRAttack

Classification-of-Tabular-Data-with-RandomForests

Project for CS_6364 Machine Learning