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 7 years ago
• llSourcell / LSTM_Networks
  This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
  ☆198Updated 6 months ago
• llSourcell / Generative_Adversarial_networks_LIVE
  ☆112Updated 7 years ago
• DeepmindHub / python-
  ☆39Updated 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
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• prakashjayy / medium_blogs
  medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
  ☆73Updated 2 years ago
• llSourcell / The_evolution_of_gradient_descent
  This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
  ☆62Updated 5 years ago
• Rachnog / education
  Materials for my lectures and for self-study in machine learning
  ☆140Updated 3 years ago
• furkanu / deeplearning.ai-pytorch
  PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
  ☆150Updated 4 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆267Updated 7 years ago
• mcdickenson / em-gaussian
  Python code for Expectation-Maximization estimate of Gaussian mixture model
  ☆76Updated 6 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 7 years ago
• jason2506 / PythonHMM
  A toy Python implementation of the Hidden Markov Model.
  ☆77Updated 12 years ago
• keunwoochoi / keras_callbacks_example
  Keras callback example
  ☆56Updated 6 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆31Updated 8 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 6 years ago
• llSourcell / Time_Series_Prediction
  This is the code for "Time Series Prediction" By Siraj Raval on Youtube
  ☆194Updated 6 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• yunjey / davian-tensorflow
  tensorflow tutorial for beginner to intermediate
  ☆47Updated 7 years ago
• llSourcell / pytorch_geometric
  Geometric Deep Learning Extension Library for PyTorch
  ☆54Updated 6 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆150Updated 3 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 4 years 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
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 7 years ago
• voletiv / myPythonNeuralNetwork
  A neural network class in Python built from scratch
  ☆8Updated 7 years ago
• llSourcell / autoencoder_explained
  This is the code for "Autoencoder Explained" by Siraj Raval on Youtube
  ☆52Updated 7 years ago
• mchablani / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program.
  ☆166Updated 7 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆91Updated 7 years ago
• Newmu / gan_tutorial
  Tensorflow example of a conv GAN on MNIST.
  ☆93Updated 6 years ago