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
  ☆33Updated 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 last year
• shibuiwilliam / Keras_Autoencoder
  Autoencoders using Keras
  ☆77Updated 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 7 years ago
• mcdickenson / em-gaussian
  Python code for Expectation-Maximization estimate of Gaussian mixture model
  ☆75Updated 7 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆267Updated 8 years ago
• llSourcell / Generative-Query-Network
  This is the code for "DeepMind Reinforcement Learning" By Siraj Raval on Youtube
  ☆85Updated 7 years ago
• prakashjayy / medium_blogs
  medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
  ☆72Updated 3 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
  ☆63Updated 8 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
• 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)
  ☆356Updated 8 years ago
• llSourcell / Generative_Adversarial_networks_LIVE
  ☆110Updated 8 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
• llSourcell / recurrent_neural_network
  This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
  ☆147Updated 6 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆123Updated 7 years ago
• mchablani / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program.
  ☆166Updated 8 years ago
• b13302 / Practical_RL-coursera
  My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
  ☆67Updated 5 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 9 years ago
• llSourcell / Classifying_Data_Using_a_Support_Vector_Machine
  This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
  ☆221Updated 6 years ago
• amitadate / S-LSTM-GAN-MNIST
  This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
  ☆89Updated 6 years ago
• keunwoochoi / keras_callbacks_example
  Keras callback example
  ☆56Updated 7 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 8 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 8 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 7 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆48Updated 7 years ago
• snatch59 / keras-autoencoders
  Autoencoders in Keras
  ☆125Updated 7 years ago
• Madhu009 / Deep-math-machine-learning.ai
  A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
  ☆198Updated 6 years ago
• furkanu / deeplearning.ai-pytorch
  PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
  ☆155Updated 5 years ago