sibosutd / cnn-timeseries
Use CNN to classify time series data for activity recognition
☆26Updated 9 years ago
Alternatives and similar repositories for cnn-timeseries:
Users that are interested in cnn-timeseries are comparing it to the libraries listed below
- MATLAB Human Activity Recognition Toolbox☆56Updated last month
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- One-Class SVM implementations for temporal segmentation of human activities☆54Updated 11 years ago
- Multi channel deep convolutional neural network for time series classification☆54Updated 8 years ago
- GPU accelerated Deep Belief Network☆46Updated 9 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 8 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆49Updated 7 years ago
- A precise to-read list for recurrent neural network (RNN).☆20Updated 8 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 8 years ago
- Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]☆34Updated 8 years ago
- Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano☆32Updated 8 years ago
- Layer of feature extraction☆8Updated 8 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Deep convolutional neural network for human activity recognition☆22Updated 7 years ago
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 11 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 8 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆63Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 7 years ago
- Keras models as ASCII diagrams☆29Updated 6 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Recognizing Surgical Activities with Recurrent Neural Networks☆45Updated 6 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago