DYP666

DYP666's Stars

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.5k238

• sotirismos/emotion-recognition-conversations

  Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network

  Language:Python184

• venzino-han/kemocon

  Language:Jupyter Notebook1

• CRISTAL-3DSAM/WER-SSL

  Language:Python61

• Kaist-ICLab/K-EmoCon_SupplementaryCodes

  Supplementary codes for the K-EmoCon dataset

  Language:Python2311

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.1k638

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.1k5.6k

• xushige/HAR-Dataset-Preprocess

  Language:Python6419

• paulvangentcom/heartrate_analysis_python

  Python Heart Rate Analysis Package, for both PPG and ECG signals

  Language:Python937321

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.4k1k

• yi-ding-cs/LGG

  [TNNLS-2023] This is the PyTorch implementation of LGGNet.

  Language:Python7815

• guillaume-chevalier/LSTM-Human-Activity-Recognition

  Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

  Language:Jupyter Notebook3.3k936

• officialarijit/ReMECS

  Real-Time Multimodal Emotion Classification System in E-Learning Context

  Language:Jupyter Notebook5

• Today0219/Emotion-recognition

  Emotion recognition using DEAP dataset，GSR。

  Language:Jupyter Notebook356

• minddo/affective-computing

  Predict personal emotion using deep learning based model. Emotion contains two dimensions, arousal and valence. To perform the task, I used DEAP dataset

  Language:Jupyter Notebook21

• neuropsychology/NeuroKit

  NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

  Language:Python1.5k407

• linxid/Machine_Learning_Study_Path

  机器学习过程中所看的书，视频和源码

  Language:Python838232

• strongnine/Series2Image

  Encoding time series as images using GAF operation by pyts.

  Language:Python20833

• jindongwang/activityrecognition

  Resources about activity recognition-行为识别资料

  Language:MATLAB912351

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.5k7.9k

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  325k27.7k

• dive-into-machine-learning/dive-into-machine-learning

  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

  11.3k1.9k