andrew89982018

Radar-activity-recognition

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

THAT

Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

3D-ResNet-Builder-for-Keras

A module for creating 3D ResNets with different depths and additional features.

4-GHz-Human-Activity-Dataset-

radar

Attention-Meter

Attention Meter measures a face attention via a WebCAM. Currently, Attention Meter is available in Python and Flash.

attfl

autokeras

accessible AutoML for deep learning.

awesome-binary-neural-networks

A curated list of binary neural network research papers and software packages.

andrew89982018/Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

andrew89982018/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

andrew89982018/attfl

andrew89982018/awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

andrew89982018/Baseline-with-HAR-datasets

3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset.

andrew89982018/bit

Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer

andrew89982018/CfC

Closed-form Continuous-time Neural Networks

andrew89982018/CI4R-Activity-Recognition-datasets

The Laboratory of Computational Intelligence for RADAR (CI4R)

andrew89982018/CSIKit

Python CSI processing and visualisation tools for Atheros, Intel, Nexmon, ESP32, and PicoScenes (USRP, etc) formats.

andrew89982018/FL-bench

Benchmark of federated learning, dedicated to the community.

andrew89982018/FL-Datasets-for-HAR

Four Federated learning datasets for Human Activity Recognition

andrew89982018/g3m

The multiplatform advanced visualization framework

andrew89982018/HAR-Dataset-Preprocess

andrew89982018/ImageNetModel

Official ImageNet Model repository

andrew89982018/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.

andrew89982018/KD_Lib

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

andrew89982018/knn-per

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

andrew89982018/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.

andrew89982018/luofei98.github.io

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

andrew89982018/Meta-HAR

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

andrew89982018/MTGEA

andrew89982018/PersonalizedFL

Personalized federated learning codebase for research

andrew89982018/pFedMe

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

andrew89982018/PowerPhone

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

andrew89982018/Q-ViT-DeiT

DeiT implementation for Q-ViT

andrew89982018/SNN_HAR

Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.

andrew89982018/SuPerFed

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

andrew89982018/Swin-Unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

andrew89982018/Transformer-Quantization

The final project repository for 2022 Spring COMS6998-009 Deep Learning System Performance in Columbia University.

andrew89982018/WiVelo_SECON22

[SECON 2022] " WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking" by Chenning Li, Li Liu, Zhichao Cao, and Mi Zhang.