Alternatives and similar repositories for Gaussian_Mixture_Models

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

• GaborLengyel / Finite-Gaussian-Mixture-models
  Tutorial for finite Gaussian mixture models in ptyhon notebook
  ☆31Updated 8 years ago
• llSourcell / LSTM_Networks
  This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
  ☆196Updated 11 months ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 8 years ago
• mcdickenson / em-gaussian
  Python code for Expectation-Maximization estimate of Gaussian mixture model
  ☆75Updated 6 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆268Updated 8 years ago
• shibuiwilliam / Keras_Autoencoder
  Autoencoders using Keras
  ☆77Updated 7 years ago
• llSourcell / Generative_Adversarial_networks_LIVE
  ☆111Updated 7 years ago
• guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆107Updated 7 years ago
• snatch59 / keras-autoencoders
  Autoencoders in Keras
  ☆126Updated 7 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆83Updated 8 years ago
• sthalles / blog-resources
  This repo will contain the resources available in my blog for learning
  ☆92Updated 6 years ago
• Newmu / gan_tutorial
  Tensorflow example of a conv GAN on MNIST.
  ☆97Updated 7 years ago
• FelixMohr / Deep-learning-with-Python
  Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this reposi…
  ☆139Updated 7 years ago
• llSourcell / hyperparameter_optimization_strategies
  This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube
  ☆62Updated 7 years ago
• axelbrando / Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
  A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
  ☆349Updated 7 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆47Updated 6 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆198Updated 3 years ago
• llSourcell / seq2seq_model_live
  ☆73Updated 8 years ago
• DeepmindHub / python-
  ☆40Updated 8 years ago
• Magho / Fitting-Gaussian-Mixture-Models-with-EM
  Implement the EM algorithm for a Gaussian mixture model and apply it to cluster images
  ☆22Updated 6 years ago
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆101Updated 6 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆282Updated 4 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated 2 years ago
• huseinzol05 / Deep-Learning-Tensorflow
  Gathers Tensorflow deep learning models.
  ☆52Updated 6 years ago
• yiboyang / PRMLPY
  Python demos for Chris Bishop's PRML textbook, and other machine learning stuff
  ☆23Updated 3 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 7 years ago
• nicholaslocascio / bcs-lstm
  ☆57Updated 6 years ago
• Tony607 / Keras_Deep_Clustering
  How to do Unsupervised Clustering with Keras
  ☆239Updated 6 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆190Updated 5 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago