stephenbalaban / convnetLinks
☆14Updated 11 years ago
Alternatives and similar repositories for convnet
Users that are interested in convnet are comparing it to the libraries listed below
Sorting:
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 10 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
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Tensorflow implementation of convolutional Winner-Take-All Autoencdoer☆29Updated 8 years ago
- TensorFlow implementation of LAPGAN (WIP, basically just DCGAN for now)☆11Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Code for the recurrent image density estimator☆29Updated 10 years ago
- ☆16Updated 8 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 9 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆51Updated 8 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 8 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 8 years ago
- Python package to sample from determinantal point processes☆18Updated 10 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆71Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 8 years ago
- Robust PCA in Python☆36Updated 12 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 10 years ago
- ☆29Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago