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har-using-federated-learning

hhar-data-process

Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"

hierarchical-federated-learning-quantization

Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data

human-activity-recognition

The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition

human_activity_recognition

The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing.

imagenetmodel

Official ImageNet Model repository

javascript-triangle-arbitrage-bot-v2

Javascript Triangle Arbitrage Bot v2 works on ETH, BNB and Polygon Networks. Won the 4th place in the code off.

kd_lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

knn-per

Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

lightweight-transformer-models-for-har-on-mobile-devices

Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devices. Findings shows that HART uses fewer paremeters, FLOPs and achieves state-of-the-art results.

lime-miner

a simple hidden silent XMR miner.

luofei98.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mars

meta-har

The source code and collected data for the Meta-HAR (WWW 2021) paper.

mhomeges-dataset

mmwave_gait

mnasnet-pytorch

A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

mtgea

personalised-federated-learning

Principles of ML Systems Project

personalizedfl

Personalized federated learning codebase for research

pfedme

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

powerphone

Reconfiguration selected Android smartphones to support 192kHz sampling rates for acoustic sensing

q-vit-deit

DeiT implementation for Q-ViT

radar-activity-recognition

This is the source code supports the findings of radar-based human activity recognition

radardata

radhar

Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

respiratory-monitoring

rfnet

RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition