akusok / hpelmLinks
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
☆201Updated 10 months ago
Alternatives and similar repositories for hpelm
Users that are interested in hpelm are comparing it to the libraries listed below
Sorting:
- Extreme Learning Machine implementation in Python☆550Updated 4 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆237Updated 3 months ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- Local Receptive Fields Based Extreme Learning Machine☆33Updated 10 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆146Updated 5 years ago
- Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance…☆17Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆299Updated last year
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- Scientific time series and deep learning state of the art☆281Updated 5 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 3 years ago
- Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)☆120Updated 6 years ago
- Building random forests on GPU☆205Updated 8 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Multi channel deep convolutional neural network for time series classification☆55Updated 9 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Adaptive Synthetic Sampling Approach for Imbalanced Learning☆133Updated 2 years ago
- One-Class SVM implementations for temporal segmentation of human activities☆54Updated 11 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated last month
- minepy - Maximal Information-based Nonparametric Exploration☆230Updated last year
- Matlab GPU Accelerated Deep Learning Toolbox☆70Updated 9 years ago
- A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time se…☆97Updated 9 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- ☆209Updated 7 years ago
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆83Updated 3 years ago