Alternatives and similar repositories for MDN_Edward_Keras_TF

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

• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 9 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 3 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• farizrahman4u / RNN-EM
  Recurrent Neural Network with External Memory in Keras
  ☆37Updated 9 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• ceshine / recurrent-dropout-experiments
  ☆16Updated 6 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 11 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago