Alternatives and similar repositories for minimal_vae

Users that are interested in minimal_vae are comparing it to the libraries listed below

• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• KokoMind / Recurrent-Environment-Simulators
  Deepmind Recurrent Environment Simulators paper implementation in tensorflow
  ☆74Updated 8 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago
• bremen79 / cocob
  TensorFlow implementation of COCOB
  ☆95Updated 2 years ago
• flomlo / ntm_keras
  An implementation of the Neural Turing Machine as a keras recurrent layer.
  ☆139Updated 8 years ago
• Miej / Dynamic_Neural_Manifold
  ☆114Updated last year
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆145Updated 6 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 3 years ago
• cogitare-ai / cogitare
  🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python
  ☆77Updated last year
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 8 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆97Updated 3 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆269Updated 6 years ago
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 8 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆134Updated 8 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 9 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 6 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆168Updated 7 years ago
• bgavran / DNC
  Implementation of the Differentiable Neural Computer in Tensorflow
  ☆119Updated 8 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 6 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 8 years ago
• BorealisAI / lite_tracer
  a light weight experiment reproducibility toolset
  ☆40Updated 5 years ago
• wassname / viz_torch_optim
  Videos of deep learning optimizers moving on 3D problem-landscapes
  ☆107Updated last year
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago