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
- ☆29Updated 7 years ago
- Easing non-convex optimization with neural networks.☆23Updated 7 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Updated 9 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 8 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆81Updated 8 years ago
- Blind deconvolution module in python☆19Updated 13 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- ☆38Updated 7 years ago
- Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow☆18Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Flow-based data pre-processing for deep learning☆31Updated 4 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Neural-based Noise Filtering from Word Embeddings☆11Updated 8 years ago
- ☆17Updated 7 years ago
- Computational graph library for machine learning☆46Updated 7 years ago
- ☆53Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Tensorflow Implementation of Programmable Agents☆35Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- All My Pytorch projects reside here☆33Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Updated 7 years ago
- ☆15Updated 9 years ago