diffzerg

diffzerg's Stars

• THU-MIG/RepViT

  RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

  Language:Jupyter Notebook72255

• rafat/wavelib

  C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.

  Language:C359119

• KevinCoble/AIToolbox

  A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

  Language:Swift79287

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.2k3.8k

• OxWearables/ssl-wearables

  Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

  Language:Jupyter Notebook9623

• microsoft/Exercise-Recognition-from-Wearable-Sensors

  This data set contains accelerometer and gyroscope recordings from over 200 participants performing various gym exercises. This data set is described in more detail in the associated manuscript: Morris, D., Saponas, T. S., Guillory, A., & Kelner, I. (2014, April). RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises.

  Language:MATLAB274

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k874

• getalp/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.

  Language:Python449

• scrapfly/scrapfly-scrapers

  Web scrapers for popular targets powered Scrapfly.io

  Language:Python21163

• fschmid56/EfficientAT

  This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

  Language:Python21240

• AdelaideAuto-IDLab/Attend-And-Discriminate

  Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

  Language:Python224

• yeyupiaoling/AudioClassification-Pytorch

  The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

  Language:Python37476

• google/lyra

  A Very Low-Bitrate Codec for Speech Compression

  Language:C++3.8k355

• facebookresearch/encodec

  State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

  Language:Python3.4k303

• OxWearables/Oxford_Wearables_Activity_Recognition

  Notebooks for Oxford CDT Wearables Data Challenge

  Language:Jupyter Notebook137

• haoranD/Awesome-Human-Activity-Recognition

  An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

  23832

• NVlabs/FasterViT

  [ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

  Language:Python75863

• swsnu/swppfall2022-team16

  Language:TypeScript31