leduvu / RVNN-and-CVNNLinks
Real valued neural networks (RVNN) and complex valued neural networks (CVNN) (Akira Hirose, 2012).
☆11Updated 8 years ago
Alternatives and similar repositories for RVNN-and-CVNN
Users that are interested in RVNN-and-CVNN are comparing it to the libraries listed below
Sorting:
- Boundary-Detection-via-Convolution-Deconvolution-Neural-Network☆14Updated 9 years ago
- Blind deconvolution module in python☆19Updated 13 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Updated 9 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- ☆29Updated 7 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Updated 8 years ago
- Simple Tensorflow implementation of "Stabilizing Adversarial Nets With Prediction Methods" (ICLR 2018)☆16Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆81Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆12Updated 3 years ago
- TensorFlow implementation of entropy SGD☆12Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Updated 8 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆40Updated 9 years ago
- noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing☆39Updated 7 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Updated 7 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 7 years ago
- ☆38Updated 7 years ago
- Simple structured learning framework for python☆38Updated 9 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- Stochastic Deep Networks☆17Updated 6 years ago
- Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow☆18Updated 7 years ago