Alternatives and similar repositories for denser-models:

Users that are interested in denser-models are comparing it to the libraries listed below

• scheckmedia / cgp-cnn-design
  Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
  ☆25Updated 7 years ago
• liangzai951 / super-brain-weight-agnostic-neural-networks-1
  Weight Agnostic Neural Networks (in Python)
  ☆18Updated 5 years ago
• fillassuncao / fast-denser
  ☆11Updated 2 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• tobegit3hub / enas_model
  Automatically build the deep learning models with ENAS
  ☆31Updated 6 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• travisdesell / exact
  EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
  ☆58Updated this week
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• countif / enas_nni
  This code is for running enas on nni.
  ☆24Updated 6 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆49Updated 5 years ago
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 8 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• brain-research / mean-field-cnns
  ☆34Updated 6 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• davinwang / C2TutorialsGo
  This is a tutorial written for Caffe2 which mocks google AlphaGo Fan and AlphaGo Zero.
  ☆8Updated 6 years ago
• jingli9111 / RUM-Tensorflow
  Rotational Unit of Memory
  ☆34Updated 6 years ago
• abhaikollara / flare-archived
  A Keras inspired training utility for PyTorch
  ☆38Updated 6 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• AFAgarap / dl-relu
  Deep Learning using Rectified Linear Units (ReLU)
  ☆22Updated 7 months ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• ktkth5 / fast-autoaugment
  Fast Autoaugment implementation for PyTorch
  ☆10Updated 5 years ago
• asanakoy / deep_unsupervised_posets
  Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)
  ☆20Updated 4 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆17Updated 7 years ago
• arayabrain / ClassifierGenerators
  Supporting code for the paper 'Learning to generate classifiers'.
  ☆18Updated 6 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆70Updated 4 years ago
• jolibrain / manette
  Deep Reinforcement Learning with Fined Grained Action Repetition
  ☆23Updated 7 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• facebookresearch / LA-MCTS
  High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
  ☆27Updated 2 years ago