s4sarath / Deep-Learning-ProjectsLinks
☆17Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-Projects
Users that are interested in Deep-Learning-Projects are comparing it to the libraries listed below
Sorting:
- ☆11Updated 7 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- ☆152Updated 7 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- ☆62Updated 8 years ago
- Neural Tensor Network Implementation as a keras layer☆59Updated 8 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 7 years ago
- PyTorch implementation of AVITM☆159Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- ☆17Updated 5 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 8 years ago
- The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"☆34Updated 7 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"☆54Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Text Generation Using A Variational Autoencoder☆110Updated 8 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆65Updated 8 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- Code for Learning to select data for transfer learning with Bayesian Optimization☆171Updated 7 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆171Updated 8 years ago
- Tensorflow implementation for prodLDA and NVLDA.☆253Updated 4 years ago
- An example of doing MovieLens recommendations using triplet loss in Keras☆21Updated 9 years ago
- Some example scripts on pytorch☆198Updated 3 years ago