ermongroup/Wifi_Activity_Recognition

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ermongroup/Wifi_Activity_Recognition

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Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Wifi_Activity_Recognition using LSTM

Latest dataset & Tensorflow code for IEEE Communication Magazine.
Title: A Survey on Behaviour Recognition Using WiFi Channel State Information

Work by Siamak Yousefi, Hirokazu Narui, Sankalp Dayal, Stefano Ermon, Shahrokh Valaee

Prerequisite

Tensorflow >= 1.0
numpy
pandas
matplotlib
scikit-learn

How to run

Download dataset from here
-> Notice: Dataset size is ~4GB
"git clone" this repository.
Run the cross_vali_data_convert_merge.py
-> This script makes csv files(input features & label) of each activity in "input_files" folder.　　
Run the cross_vali_recurrent_network_wifi_activity.py -> This script makes learning curve images & confusion matrix in a new folder.

Dataset

We collect dataset using Linux 802.11n CSI Tool.

The files with "input_" prefix are WiFi Channel State Information data.
-> 1st column shows timestamp.
-> 2nd - 91st column shows (30 subcarrier * 3 antenna) amplitude.
-> 92nd - 181st column shows (30 subcarrier * 3 antenna) phase.

The files with "annotation_" prefix are annotation data.

Jupyter notebook

PCA_STFT file visualize the data from .csv file. This code refers to CARM.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

ddim

Denoising Diffusion Implicit Models

SDEdit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

Jupyter Notebook

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Variational-Ladder-Autoencoder

Implementation of VLAE

MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

neuralsort

Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

Jupyter Notebook

tile2vec

Implementation and examples for Tile2Vec

flow-gan

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

GraphScoreMatching

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

Sequential-Variational-Autoencoder

Implementation of Sequential Variational Autoencoder

multiagent-gail

markov-chain-gan

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

ssdkl

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

smile-mi-estimator

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

Jupyter Notebook

MetaIRL

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

PatchDrop

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]

generative_adversary

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

pirank

PiRank: Learning to Rank via Differentiable Sorting

graphite

Code for Graphite iterative graph generation

CalibratedModelBasedRL

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

ODS

Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

subsets

Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.

necst

Neural Joint-Source Channel Coding

cs323-notes

Course notes for CS323: Automated Reasoning

mintnet

MintNet: Building Invertible Neural Networks with Masked Convolutions

f-EBM

Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020

alignflow

higher_order_invariance

Code for "Accelerating Natural Gradient with Higher-Order Invariance"

lagvae

BiasAndGeneralization

Jupyter Notebook

fast_feedforward_computation

Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021

Jupyter Notebook

BCD-Nets

Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

STGAN

PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.

self-similarity-prior

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

Jupyter Notebook

Crop_Yield_Prediction

NDA

sparse_gen

Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018

dail

The Official Implementation of Domain Adaptive Imitation Learning (DAIL)

lag-fairness

f-dre

Featurized Density Ratio Estimation

Jupyter Notebook

bgm

Code for "Boosted Generative Models", AAAI 2018.

fairgen

Fair Generative Modeling via Weak Supervision

Jupyter Notebook

best-arm-delayed

Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.

WikipediaPovertyMapping

Implementation of Geolocated Articles Processing and Poverty Mapping - [KDD19]

Jupyter Notebook

dre-infinity

Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)

Neural-PDE-Solver

SPN_Variational_Inference

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020

acl

Code for "Adversarial Constraint Learning for Structured Prediction"

f-wgan

Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020

Jupyter Notebook

HyperSPN

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

EfficientObjectDetection

PyTorch Implementation of Efficient Object Detection in Large Images

streamline-vi-csp

bayes-opt

BestArmIdentification

pestat

Keep pestat great

permanent_adaptive

rbpf_fireworks

PretrainingWikiSatNet

weighted-rademacher

gac