usptact / ELM-C--Links
Extreme Learning Machine - C++ library
☆33Updated 10 years ago
Alternatives and similar repositories for ELM-C--
Users that are interested in ELM-C-- are comparing it to the libraries listed below
Sorting:
- A GPU / CPU implementation of a feed forward neural network☆31Updated 10 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Optimization and logistic regression☆24Updated 8 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/☆73Updated 8 years ago
- Sparse Filtering☆220Updated 13 years ago
- ☆29Updated 7 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Distributed NMF/NTF Library☆48Updated 9 months ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆141Updated 8 years ago
- Training a Tensorflow graph in C++☆26Updated 8 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- ☆34Updated 8 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆93Updated 2 years ago
- Deep Recurrent Neural Networks☆30Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Functional ANOVA☆27Updated 10 years ago
- Symbolic differentiation engine for optimization-based machine learning models.☆43Updated 7 years ago
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆25Updated 5 years ago
- Neural Network Models for Multi-label learning☆17Updated 4 years ago
- nngraph for more complex structures☆25Updated 9 years ago
- Hierarchical Image Representation☆10Updated last year
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Generating Families of Practical Fast Matrix Multiplication Algorithms☆12Updated 8 years ago