adler-j / minimal_vae
A minimal implementation of an Variational Auto-Encoder
☆36Updated 6 years ago
Alternatives and similar repositories for minimal_vae:
Users that are interested in minimal_vae are comparing it to the libraries listed below
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 5 years ago
- Deepmind Recurrent Environment Simulators paper implementation in tensorflow☆74Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- ☆113Updated 7 months ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 7 years ago
- ☆62Updated 7 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆106Updated 2 years ago
- Differentiable neural computers☆27Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 7 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Neural network training using iterated projections.☆89Updated 8 years ago
- A curated list of awesome hyperparameters for deep learning☆78Updated 7 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.☆94Updated 2 years ago
- A minimal implementation of Wasserstein GAN☆44Updated 7 years ago
- Easy TensorFlow logging for quick prototypes☆110Updated 3 years ago
- ☆43Updated 5 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 5 years ago
- RNN with differentiable structure (number of neurons)☆22Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- ☆68Updated 6 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- ☆30Updated 7 years ago