karush17 / CapsNet-1D
1D Capsule Network for Gesture Recognition in Keras.
☆32Updated last year
Alternatives and similar repositories for CapsNet-1D:
Users that are interested in CapsNet-1D are comparing it to the libraries listed below
- Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media La…☆57Updated 4 years ago
- Implementation of OpenAI's Evolution Strategies in PyTorch.☆20Updated 5 years ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- ResNet-1D and Variable Length Pooling for time series data like speech☆33Updated 6 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- Multivariate Time Series Classification using Dilated Convolutional Neural Network☆12Updated 5 years ago
- Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…☆22Updated last year
- ☆20Updated 6 years ago
- Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)☆23Updated 5 years ago
- Energy-based Surprise Minimization for Multi-Agent Value Factorization☆12Updated last year
- PSO On neural Network and LSTM☆19Updated 3 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆37Updated 6 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 4 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- combine wavelet transform and attention mechanism for time series forecasting or classification☆29Updated 6 years ago
- Image classification using reinforcement learning and multi-agent system☆47Updated 9 months ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆15Updated last year
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 6 years ago
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆59Updated 7 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆16Updated 2 years ago
- ☆19Updated 4 years ago
- GRU-FCN model for univariate time series classification☆26Updated 5 years ago
- Particle Swarm Optimizer For Neural Network Training☆56Updated 6 years ago
- Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN☆23Updated 5 years ago
- Hierarchical Transfer Component Analysis and Hierarchical Joint Domian Adaption are implemented in this repository.☆20Updated 6 years ago
- This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, wh…☆12Updated 2 years ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆17Updated 4 months ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago