lbkchen / deep-learningLinks
Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to predict future patient complications.
☆36Updated 8 years ago
Alternatives and similar repositories for deep-learning
Users that are interested in deep-learning are comparing it to the libraries listed below
Sorting:
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- Stacked Denoising AutoEncoder based on TensorFlow☆24Updated 5 years ago
- ☆25Updated 9 years ago
- sklearn wrappers for stacked denoising autoencoders☆16Updated 9 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
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- Python implementations of kNN imputation☆31Updated 8 years ago
- ☆74Updated 6 years ago
- Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow☆16Updated 8 years ago
- A try to autoencode an LSTM to do anomaly detection☆23Updated 9 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆13Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Using Genetic Algorithms to aid Machine Learning☆18Updated 7 years ago
- An algorithm for classification from a graph-sparse support☆15Updated 6 years ago
- Active Learning☆56Updated 9 years ago
- Use CNN to classify time series data for activity recognition☆26Updated 9 years ago
- an implementation of reinforcement learning problem, stock prices☆10Updated 8 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 9 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 5 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 years ago
- Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras☆28Updated 9 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆1Updated 7 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 8 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.☆26Updated 9 years ago