bremen79 / cocobLinks
TensorFlow implementation of COCOB
☆95Updated 2 years ago
Alternatives and similar repositories for cocob
Users that are interested in cocob are comparing it to the libraries listed below
Sorting:
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- A minimal implementation of Wasserstein GAN☆44Updated 7 years ago
- ☆62Updated 8 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 7 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- ☆113Updated 10 months ago
- ☆92Updated 8 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆144Updated 5 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆107Updated 2 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆108Updated 11 months ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- DrMAD☆107Updated 7 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- ☆37Updated 6 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 7 years ago
- ☆137Updated 7 years ago